Relevant bibliographies by topics / Battery optimisation

Academic literature on the topic 'Battery optimisation'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Battery optimisation"

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Yusof, M. S., S. F. Toha, N. A. Kamisan, N. N. W. N. Hashim, and M. A. Abdullah. "Battery Cell Balancing Optimisation for Battery Management System." IOP Conference Series: Materials Science and Engineering 184 (March 2017): 012021. http://dx.doi.org/10.1088/1757-899x/184/1/012021.

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Torquato, Matheus F., Kayalvizhi Lakshmanan, Natalia Narożańska, Ryan Potter, Alexander Williams, Fawzi Belblidia, Ashraf A. Fahmy, and Johann Sienz. "Cascade Optimisation of Battery Electric Vehicle Powertrains." Procedia Computer Science 192 (2021): 592–601. http://dx.doi.org/10.1016/j.procs.2021.08.061.

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Noack, Jens, Mike Wernado, Jens Ortner, and Karsten Pinkwart. "(Invited) Iron/Iron Redox Flow Battery Optimisation Studies." ECS Meeting Abstracts MA2022-02, no. 30 (October 9, 2022): 1095. http://dx.doi.org/10.1149/ma2022-02301095mtgabs.

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Due to the steadily increasing growth of renewable energies, the importance of stationary energy storage systems is growing significantly. A potentially very cheap alternative to lithium-ion and vanadium redox flow batteries are iron/iron redox flow batteries. Iron is an extremely inexpensive active material, thus enabling cheap energy storage solutions and perhaps batteries with very low investment costs while maintaining low toxicity and aggressiveness due to the moderate pH and relatively low potential of the positive electrode. An iron(II) salt solution serves as the initial solution and is oxidized to iron(III) at the positive electrode and reduced to elemental iron at the negative electrode during the charging process. One of the biggest problems is the formation of hydrogen at the iron electrode during the charging process at low pH values and the precipitation of iron(II) hydroxides from slightly acidic pH values [[i]]. When operating this type of battery, the negative electrode must be kept within a narrow pH window where no precipitation occurs and as little hydrogen as possible is evolved, which in turn significantly reduces battery life and efficiency. As part of a feasibility, different iron/iron redox flow batteries were constructed and their electrochemical properties were investigated. One of the most important components of the battery was the recombination cell, which allows hydrogen evolution to be reversed, thus significantly increasing the number of cycles. Different substrates for iron deposition were investigated, different membranes as well as different charging and discharging parameters of the battery. With the recombination cell, it was possible to complete up to one hundred cycles with long cycle times of 1 h charging time, and to calculate and compare efficiencies and other performance values. A kynol fabric achieved the best performance and all membranes investigated showed potential applications. An optimized battery achieved up to 70% energy efficiency at 12.5 mA/cm² and max. 47 mW/cm² power density at 75 mA/cm². [i] [1]L. W. Hruska, J. Electrochem. Soc. 1981, 128, 18. Figure 1
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Schweighofer, Lukas, Bernd Eschelmüller, Katja Fröhlich, Wilhelm Pfleging, and Franz Pichler. "Modelling and Optimisation of Laser-Structured Battery Electrodes." Nanomaterials 12, no. 9 (May 6, 2022): 1574. http://dx.doi.org/10.3390/nano12091574.

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An electrochemical multi-scale model framework for the simulation of arbitrarily three-dimensional structured electrodes for lithium-ion batteries is presented. For the parameterisation, the electrodes are structured via laser ablation, and the model is fit to four different, experimentally electrochemically tested cells. The parameterised model is used to optimise the parameters of three different pattern designs, namely linear, gridwise, and pinhole geometries. The simulations are performed via a finite element implementation in two and three dimensions. The presented model is well suited to depict the experimental cells, and the virtual optimisation delivers optimal geometrical parameters for different C-rates based on the respective discharge capacities. These virtually optimised cells will help in the reduction of prototyping cost and speed up production process parameterisation.
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Frieß, Benedikt, Thomas Soczka-Guth, Florian Hofbeck, and Franz Nietfeld. "Challenges in battery development basics and optimisation strategy." ATZelektronik worldwide 12, no. 6 (December 2017): 36–41. http://dx.doi.org/10.1007/s38314-017-0076-4.

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Jurčević, Jura, Ivan Pavić, Nikolina Čović, Denis Dolinar, and Davor Zoričić. "Estimation of Internal Rate of Return for Battery Storage Systems with Parallel Revenue Streams: Cycle-Cost vs. Multi-Objective Optimisation Approach." Energies 15, no. 16 (August 12, 2022): 5859. http://dx.doi.org/10.3390/en15165859.

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This paper assesses the profitability of battery storage systems (BSS) by focusing on the internal rate of return (IRR) as a profitability measure which offers advantages over other frequently used measures, most notably the net present value (NPV). Furthermore, this study proposes a multi-objective optimisation (MOO) approach to IRR estimation instead of relying on the simple linear optimisation and compares the results to the popular linear optimisation with battery cycle-cost penalty. The analysis is conducted under perfect foresight conditions by considering multiple revenue streams: arbitrage trading in the day-ahead and intraday markets, peak shaving, participating in the primary reserves market, and from photovoltaic (PV) power-generation unit. Data are collected for the German power market for 2017 and 2021. The results show that MOO approach yields similar IRR estimates to the cycle-cost model in 2017. However, higher market volatility and increased electricity prices in 2021 resulted in tangible differences. The analysis shows that, if such conditions are coupled with a low battery capacity price, the MOO method significantly outperforms the cycle-cost model. The effects of battery calendar lifetime and state of charge which decrease profitability are also considered. Nevertheless, a noticeable rise in profitability in 2021 relative to 2017 could provide enough compensation to address the issue of relatively poor viability track record.
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Akbar, Faraz. "Weight Optimisation of Electric Vehicle through Hybrid Structural Batteries." International Journal of Automotive and Mechanical Engineering 17, no. 4 (December 31, 2020): 8310–25. http://dx.doi.org/10.15282/ijame.17.4.2020.08.0628.

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This paper contributes towards the research and development campaign on the weight reduction of electric vehicles through the technology of structural composite batteries. Batteries are the key component and an integral part of electric vehicles which constitutes a major proportion of the vehicle’s weight. Most of the electric vehicle manufacturers use lithium-ion batteries which are in recent years have gone through a major development. The use of lithium-ion batteries within a carbon reinforced composite structure of the car has given rise to the concept of structural batteries where both the mechanical strength of the structure and the chemistry of the battery to be optimized. Various aspects of design in the formulation of the structural batteries are reviewed including material selection with respect to its electrical and mechanical requirements. In this research work, properties of carbon fiber are utilised which provide mechanical strength to the vehicle whilst be an efficient electrode for the lithium-ion structural batteries. The impacts of lithiation on the strength of the structure and charge time for the batteries are explored. Significant results of weight reduction have been achieved by formulating the structural battery for the roof of a passenger car having a 30 kW-hr battery. At 0.7 mm of active electrode thickness is designed within the roof structure, the roof can store 5.9 kW-hr of energy with the reduction of 56.5 kg in overall weight of the vehicle. The battery pack of 255 kg gets completely replaced by the structural composite battery because of its magnificent specific charge capacity at the active electrode with the thickness of 3.5 mm.
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Aycı, Doğukan, Ferhat Öğüt, Ulaş Özen, Bora Batuhan İşgör, and Sinan Küfeoğlu. "Energy Optimisation Models for Self-Sufficiency of a Typical Turkish Residential Electricity Customer of the Future." Energies 14, no. 19 (September 27, 2021): 6163. http://dx.doi.org/10.3390/en14196163.

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This paper utilises a two-stage demand response-enabled energy management algorithm for a typical Turkish self-sufficient living space. The proposed energy management model provides an additional gain in line with the goal of self-sufficiency by scheduling flexible loads and energy storage systems at home according to a static time of use tariff. The impact of load scheduling and battery optimisation were evaluated in the scope of self-sufficiency, economic gain and return on investment performances. According to the results, the proposed two-stage structure provided a net saving increase of 9.5% in the one-battery scenario, and it rises to 14% in the design with three batteries. On the other hand, when we inspect the energy management scenarios with the return on investment (ROI) calculations, we see that the single battery system has a higher ROI than the two or three battery systems due to the increased battery cost. Moreover, the ROI value, 13.9% without optimisation, increased to 15.3% in the proposed Home Energy Management System (HEMS) model. As can be seen from this calculation, intelligent management of batteries and flexible loads provided a 10% increase in ROI value.
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He, Yicheng, Kai Yang, Xiaoqing Wang, Haisong Huang, and Jiadui Chen. "Quality Prediction and Parameter Optimisation of Resistance Spot Welding Using Machine Learning." Applied Sciences 12, no. 19 (September 25, 2022): 9625. http://dx.doi.org/10.3390/app12199625.

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In a small sample welding test space, and to achieve online prediction and self-optimisation of process parameters for the resistance welding joint quality of power lithium battery packs, this paper proposes a welding quality prediction model. The model combines a chaos game optimisation algorithm (CGO) with the multi-output least-squares support vector regression machine (MLSSVR), and a multi-objective process parameter optimisation method based on a particle swarm algorithm. First, the MLSSVR model was constructed, and a hyperparameter optimisation strategy based on CGO was designed. Next, the welding quality was predicted using the CGO–MLSSVR prediction model. Finally, the particle swarm algorithm (PSO) was used to obtain the optimal welding process parameters. The experimental results show that the CGO–MLSSVR prediction model can effectively predict the positive and negative electrode nugget diameters, and tensile shear loads, with root mean square errors of 0.024, 0.039, and 5.379, respectively, which is better than similar methods. The average relative error in weld quality for the optimal welding process parameters is within 4%, and the proposed method has a good application value in the resistance spot welding of power lithium battery packs.
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Jeffs, James, Truong Quang Dinh, Widanalage Dhammika Widanage, Andrew McGordon, and Alessandro Picarelli. "Optimisation of Direct Battery Thermal Management for EVs Operating in Low-Temperature Climates." Energies 13, no. 22 (November 16, 2020): 5980. http://dx.doi.org/10.3390/en13225980.

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Electric vehicles (EVs) experience a range reduction at low temperatures caused by the impact of cabin heating and a reduction in lithium ion performance. Heat pump equipped vehicles have been shown to reduce heating ventilation and air conditioning (HVAC) consumption and improve low ambient temperature range. Heating the electric battery, to improve its low temperature performance, leads to a reduction in heat availability for the cabin. In this paper, dynamic programming is used to find the optimal battery heating trajectory which can optimise the vehicle’s control for either cabin comfort or battery performance and, therefore, range. Using the strategy proposed in this research, a 6.2% increase in range compared to no battery heating and 5.5% increase in thermal comfort compared to full battery heating was achieved at an ambient temperature at −7 °C.
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Dissertations / Theses on the topic "Battery optimisation"

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Hunter, Phillip M. "VRLA battery float charge : analysis and optimisation." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2003. http://hdl.handle.net/10092/5594.

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This thesis investigates the float charge operation of Valve Regulated Lead Acid (VRLA) batteries in standby power applications. While the telecommunication standby power system is the targeted application, the results are applicable in any situation where VRLA batteries are subjected to long periods of float charge. The goals of float charge are identified and a test and analysis procedure is developed to provide a means of assessing the effectiveness of the applied float charge. The primary goal of float charge is to counteract the natural self-discharge of the battery and indefinitely maintain it in a fully charged state. A secondary goal of float charge is to maximise the life of the battery. This is achieved by ensuring that ageing mechanisms such as positive grid corrosion and gas venting are maintained at minimum levels. The problems associated with conventional float charge control are investigated and, in particular, the electrode imbalance problems associated with some long life VRLA cells are detailed. These electrode imbalance problems can result in the cell suffering a gradual discharge of the negative electrode while the cell appears healthy and on a float charge. This ultimately results in reduced cell capacity and is identified as a major cause of the premature failure of long life VRLA cells. Float charge analysis and the subsequent optimisation relies heavily on knowledge of the polarisation distribution between the positive and negative electrodes within a cell. Conventionally, this is determined with the aid of a reference electrode, although such testing is only possible in a well-controlled laboratory environment. By modelling the steady state and transient features of both the positive and negative electrodes, a test and analysis procedure is developed to estimate the polarisation distribution within a conventional 2 V VRLA cell, in effect creating a virtual reference electrode. The developed procedure exploits differences in the transient response of each electrode to estimate their polarisations at the applied float voltage. The polarisation estimations are typically accurate to within 10 mV, the window of polarisation relating to minimal positive grid corrosion is approximately 40 mV wide, and the total polarisation applied to a VRLA cell is around 130 mV. The test requires only a very low rate constant current discharge, and cell terminal voltage measurements. This test may be automated and applied to cells in field service, and provides the necessary measure to gauge float charge optimisation. The developed test is able to verify that a cell on float charge is indeed fully charged, and assists in determining the optimal float voltage for maximum cell life.
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Yee, Timothy. "Remote Area Power System (RAPS) Battery Lifecycle Cost Optimisation." Thesis, University of Canterbury. Engineering Management, 2014. http://hdl.handle.net/10092/8952.

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The intent of this project with Powerco was to identify the cause of premature battery failure and suggest improvements to the Remote Area Power System (RAPS), which is managed by Powerco subsidiary Basepower. An evaluation matrix was used to analyse the most beneficial solution that can be implemented in the RAPS unit. The issues that have caused the early failure for the RAPS have been determined and improvements to the system are suggested. These have been provided to the Powerco Research and Development team for consideration.
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Green, Susan. "The optimisation of lithium sulphuryl chloride cells." Thesis, Loughborough University, 1988. https://dspace.lboro.ac.uk/2134/27797.

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Khanaki, Razieh. "Integration of non-isolated converters in battery storage systems: Topology development, evaluation and optimisation." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/208259/1/Razieh_Khanaki_Thesis.pdf.

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This thesis examines topological variations of non-isolated DC-DC converters and their implications on design parameters and configurations of battery-integrated-converter systems. Furthermore, the opportunity of increased reliability with battery-integrated-converter systems is discussed with examples for both DC-DC and DC-AC converter applications, by taking into account the module voltage, redundancy level, scheduled maintenance and converter topology factors. Moreover, the optimisation and other practical trade-offs associated with the selection of the voltage rating of battery power modules (BPMs) in a battery-integrated-converter-system from an efficiency perspective is investigated.
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Mariani, Alessandro. "Optimisation of valve regulated lead acid battery design for high power applications." Thesis, University of South Wales, 2017. https://pure.southwales.ac.uk/en/studentthesis/optimisation-of-valve-regulated-lead-acid-battery-design-for-high-power-applications(f8316110-ebc1-4f0b-9e1b-4a66d7e50564).html.

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El, Hage Ranine. "Etude et optimisation d'une batterie à circulation tout vanadium." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30101.

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Le présent projet concerne la conception et l'optimisation des batteries à circulation (RFB). Ces dernières sont des dispositifs permettant la conversion électrochimique de l'énergie électrique et son stockage sous forme chimique ; le processus inverse vise à récupérer l'énergie stockée sous forme d'électricité, selon la demande. Les RFB sont bien adaptées pour répondre au caractère intermittent des ressources des énergies renouvelables. La batterie étudiée est la RFB tout vanadium (VRFB), qui a été développée dans les années 80 et dont l'avantage principal par rapport aux autres batteries à circulation (le Fe-Cr par exemple), est l'absence de contamination irréversible des deux électrolytes, ceci du faite que toutes les solutions sont des sels de vanadium. Cependant, la densité énergétique de ce système ne dépasse pas 40 Wh.kg-1 (contre ~ 150 Wh.kg-1 dans le cas des batteries stationnaires Li-ion) à cause de la faible solubilité des sels de vanadium (< 2 mol.L-1) dans l'acide sulfurique utilisé comme électrolyte support. Un objectif de la thèse est d'optimiser la formulation des mélanges d'électrolyte afin d'augmenter la densité énergétique de la batterie. Ceci consiste à i) mettre en place des méthodes électrochimiques pour la préparation, l'analyse et la caractérisation des électrolytes (posolyte V(IV)/V(V) et négolyte V(II)/V(III)) pour trouver leur composition optimale et ii) à comprendre les phénomènes physico-chimiques ayant lieu durant les cycles de charge-décharge de la batterie et déterminer les lois régissant ces processus et ainsi surmonter toute limitation éventuelle. L'étude a été menée dans une cellule classique à trois électrodes, permettant de travailler aisément avec un système électrochimique à la fois (en demi-batterie). Les résultats montrent que la présence de particules affecte négativement le courant de la batterie même si le solide permet d'augmenter la capacité de stockage. D'autre part, la présence d'un additif carboné dans le posolyte paraît avoir un effet bénéfique sur le courant grâce à l'extension du collecteur électronique dans le volume via la formation d'agrégats (percolation électronique dans la suspension). Des mesures de conductivité, masse volumique, viscosité, débit ainsi que des méthodes de caractérisation de poudre (MEB, diffraction laser) ont été réalisés et apporté les données nécessaires. Un second objectif de la thèse est la conception et l'élaboration d'une VRFB, à l'échelle laboratoire, ayant une densité énergétique supérieure à 100 Wh.kg-1, ainsi que l'optimisation tant que de possible la puissance du réacteur. Des bilans massique et énergétique sont réalisés pour les opérations de charge-décharge sous différentes conditions, afin d'établir les corrélations 'réponse du système (courant, tension et réversibilité) en fonction des divers paramètres opératoires'. Les conversions ainsi que les rendements faradiques et énergétiques sont évalués et optimisés
This research focuses on the redox flow batteries (RFBs) conception and optimization. RFBs are devices performing the electrochemical conversion of electric energy to chemical energy (to store); the reverse process allows recovering the stored energy in the form of electricity according to demand. RFBs are well adapted to energy storage from intermittent renewable energy sources. The battery studied is the all-vanadium RFB (VRFB) which was introduced in the 1980's. Owing to the nature of the electrolytes used in the VRFB, the effect of the irreversible cross-contamination, usually encountered in other RFBs such as the Fe-Cr system, is thus overcome. However, the energy density of this system remains lower than 40 Wh.kg-1 (compared to ~ 150 Wh.kg-1 for Li-ion stationary batteries) because of the low solubility (< 2 mol.L-1) of the vanadium salts in sulfuric acid, used as supporting electrolyte. An objective of this thesis is to optimize the formulation of the electrolytes in order to increase the stored energy density. This consists of: i) preparing, analyzing and characterizing the electrolytes (posolyte V(IV)/V(V) and negolyte V(II)/V(III) ), thus expecting to find their optimal composition and ii) understanding the physico-chemical phenomena occurring during the charge-discharge cycling and thus determining the laws governing these processes to overcome any eventual limitation. These aspects were studied using a classical three electrodes cell, enabling to operate with one electrochemical system at a time (the half of the battery). The presence of particles seems to negatively affect the current of the battery even if it enables to increase the stored energy density. On the another hand, the presence of carbon nanoparticles in the posolyte appears to have a beneficial effect on the current due to the increase of the electrode surface area by the formation of aggregates (electronic percolation in the suspension). This part also includes various physical measurements, such as conductivity, density, viscosity and flow rate, as well as powder characterization techniques (SEM, laser diffraction). Another objective is to conceive and elaborate a VRFB (at the laboratory scale) providing an energy density higher than 100 Wh.kg-1, and optimizing as much as possible the power density of the reactor. Mass and charge balances are performed for charge/discharge cycles, to establish correlations that link the response of the system (current, voltage, energy and reversibility) to the (influencing) operating parameters. Conversions, faradic and energy yields were evaluated and optimized
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Abdelhedi, Riadh. "Optimisation d’un système de stockage hybride de l’énergie électrique avec batterie et supercondensateurs pour véhicule électrique." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1347/document.

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Ce travail contribue à l’optimisation d’un système de stockage hybride couplant une batterie lithium-ion et des supercondensateurs pour les véhicules électriques. La complémentarité entre ces deux sources d’énergie permet l’amélioration des performances globales du système. Notre étude porte sur la mise en oeuvre de techniques avancées de contrôle et de gestion de l’énergie. Notre objectif est d’avoir une meilleure utilisation du système de stockage. Dans ce cadre, notre démarche est de développer une gestion d’énergie en temps réel qui tient compte des contraintes électriques et thermiques des systèmes de stockage. Une étude comparative sur les avantages et les inconvénients de différentes techniques de gestion d’énergie nous a permis d’effectuer le choix entre un partage de puissance à moindre coût et un partage performant de l’énergie entre les systèmes de stockage. Un banc expérimental a été mis en oeuvre afin de concrétiser la démarche théorique
This work contributes to the optimization of a hybrid storage system that combines lithium-ion batteries with supercapacitors used for electric vehicles. This hybridization structure was chosen due to the complementarity between both used storage devices. Our study focuses on the implementation of advanced energy control and management techniques. Using better the storage system represents the goal of this thesis. Our approach is to develop a real time algorithm of energy management taking into account battery electrical and thermal behaviors. A comparative study evaluates the benefits and the drawbacks of each proposed strategy in order to offer various choices between low cost power sharing solutions and control strategy with high performances. An experimental bench was implemented to apply the theoretical concept
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Khawaja, Danial. "Modeling and optimisation of a rotary kiln reactor for the processing of battery materials." Thesis, KTH, Kemiteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302460.

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Roterugnar är cylindriska kärl som används för att höja materials temperaturer i en kontinuerlig process som kallas för kalcinering. Roterugnar kan tillämpas i olika processer såsom reduktion av oxidmalm samt återvinning av farligt avfall. Fördelen med roterugnar ligger i dess förmåga att hantera råmaterial som sträcker sig från slam till granulära material med en mängd olika partikelstorlekar, och därigenom upprätthålla distinkta miljöer såsom en bädd av fasta partiklar som samexisterar med ett oxiderande fribord. Sex olika bäddbeteende har dokumenterats med avseende på fyllningsgrad samt Froude nummer. Syftet med denna studie var att utveckla en tvådimensionell suspensions modell med CFD genom att använda den kommersiella mjukvaran COMSOL 5.5 för att simulera de två faser, gas och fast, som en blandad fas efter verk av Philips et. al., Physics of Fluids A: Fluid Dynamics 4.1 (1992) 30-40 och Acrivos & Zhang., International Journal Multiphase Flow 20.3 (1994) 579-591. Denna modell undersöktes genom att jämföra den med de dokumenterade flödesregimerna samt genom parameter som partikelstorlek, partikeldensitet och viskositeten hos gas i flödesregimen känd som rullande läge. Dessutom undersöktes temperaturprofilen för den roterande ugnen genom att utforska hur blandningsvariationer av den fasta bädden i den roterande ugnen påverkas av värmeöverföringen när värme tillförs från väggen under rullande läge. Resultaten av den tvådimensionella suspension modellen visade att det var bara möjligt att simulera glidläge korrekt; andra lägen kunde inte beskrivas som dokumenterat i litteraturen. Det indikeras att vilovinkeln och viskösa krafter i den roterande ugnen var låga vilket resulterade i att suspensions modellen inte kunde avbilda exakt de återstående flödesregimerna som dokumenterat. Till exempel avbildades rullningsläget mer likt forsandeläge då partiklarna fall fritt efter höjning av bädden. Partikelstorlek och partikeldensitet har visat sig ha en betydande påverkan på suspensions modellen eftersom de viskösa krafterna blir låga för en partikelstorlek och partikeldensitet under 0,4 mm respektive 1500 kg/m3. Angående gasens viskositet visades det sig att ju närmare värdet 2.055e-3 (Pa*s) den blev desto större blev sedimentationsflödet vilket resulterade i att bäddpartiklarna dras ner och förblir där. Suspensions modellen kunde således simulera en fast och flytande fas och inte en gasfas som avsett. Slutligen visade temperaturanalysen att påverkan av den termiska konduktiviteten var mer signifikant än den specifika värmekapaciteten i intervallet 1 - 50 (W/(m*K)) respektive 300 - 800 (J/(kg*K)) på grund av den tid det tog att nå en homogen temperaturprofil.
Rotary kilns are cylindrical vessels used to raise materials temperature in a continuous process known as calcination. Rotary kilns find application in various processes such as reduction of oxide ore and hazardous waste reclamation. The advantage of the rotary kiln lies in its ability to handle feedstock ranging from slurries to granular materials with a variety of particle size, thereby maintaining distinct environments such as a bed of solid particles coexisting with an oxidising freeboard. Six different bed behaviours within the kiln have been documented with respect to the filling degree and Froude number. The aim of this study was to develop a two-dimensional suspension model with CFD by using the commercial software COMSOL 5.5 to simulate the two phases, gas and solid, as a mixed phase, following the works of Philips et. al., Physics of Fluids A:  Fluid Dynamics 4.1 (1992) 30-40 and Acrivos & Zhang., International Journal Multiphase Flow 20.3 (1994) 579-591. This model was investigated by comparing it against the documented flow regimes as well as through parameters such as particle size, particle density and viscosity of gas in the flow regime known as rolling mode. In addition, the temperature profile of the rotary kiln was investigated by exploring how the mixture variation of the solid bed within the rotary kiln affects the heat transfer when heat is supplied from the wall during a rolling mode. The results of the two-dimensional suspension model showed that it was only possible to simulate the slipping mode accurately; others mode could not be described as documented in literature. It is indicated that the angle of repose and viscous forces within the rotary kiln were low resulting in the suspension model not being able to accurately depict the remaining flow regimes as documented. For instance, the rolling mode was depicted more as a cataracting mode due to the free fall of particles after elevation of the bed. The particle size and the particle density were found to have a significant impact on the suspension model as the viscous forces became low for a particle size and particle density below 0.4 mm and 1500 kg/m3 respectively. As for the viscosity of gas it was found that the closer it got to the value 2.055e-3 (Pa*s) the sedimentation flux became too large resulting in the bed particles being pulled down and remaining there. Thus, the suspension model could simulate a solid and liquid phase and not a gas phase as intended. Lastly, the temperature analysis revealed that the impact of the thermal conductivity was more significant than the specific heat capacity in the range of 1 - 50 (W/(m*K)) and 300 - 800 (J/(kg*K)) respectively, due to the time it took to reach a homogeneous temperature profile.
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Rodrigues, Daniel Lionel. "Battery energy storage design optimisation sizing within a peer-to-peer energy sharing community." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/73324.

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The increase in deployment of microgrids and the mismatch between local energy generation and demand have led to an innovative and versatile peer-to-peer (P2P) energy sharing framework to manage distributed energy resources (DER). P2P energy sharing, described as the energy trade between local prosumers and consumers based on the sharing economy concept, is one effective solution that allows excess energy from prosumers DER to be traded within their local community. P2P energy sharing exhibits superior advantages in terms of local power self-consumption, self-sufficiency and return on local generation investment compared with the conventional peer-to-grid (P2G) trading. Existing studies have shown the benefits of battery energy storage systems (BESSs) inclusion, but do not consider optimal BESS sizing with P2P energy sharing under different BESS ownership. For microgrids of grid-tied solar photovoltaic (PV) prosumers, two different optimal BESS ownership structures under the P2P framework, namely the ESP owned BESS structure and the User owned BESS structure, are investigated in this study which are compared to the traditional User owned BESS structure under the P2G framework. An optimal BESS sizing model is proposed for a P2P energy sharing network (ESN) consisting of a centralised BESS owned by a third-party energy sharing provider (ESP). A multi-objective optimisation model, considering the ESP energy storage investment net present value and the ESN energy costs, is formulated incorporating the supply and demand ratio for the ESN internal pricing mechanism. It is found that for a university campus network case study that the P2P structures are more economically beneficial as they achieved greater NPVs in comparison to their BESS size. The most desirable BESS ownership structure, with the greatest NPV of $1 397 770.04 and an overall reduction in BESS size of 10%, is the User owned BESS structure with P2P energy sharing. However, that is assuming that all prosumers are willing and financially capable of investing in a BESS. The ESP owned structure was found to be less economically beneficial for the prosumers, but provided the opportunity for prosumers to engage in P2P energy sharing and reduce their energy costs without a BESS investment cost. A simplified BESS operation control is also realised with this structure. Finally, the simulation results from the case study show an approximate linear interaction between the ESP optimal li-ion battery energy storage sizing with the amount of P2P energy sharing and the energy cost for the ESN under the time-of-use tariff. The larger the li-ion battery, the more P2P energy li-ion battery, decreases the BESS NPV and possibly making its deployment infeasible.
Dissertation (MEng)--University of Pretoria, 2019.
Electrical, Electronic and Computer Engineering
MEng
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Perin, Igor. "Techno-economical optimisation of 50kV AC railway networks." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204187/1/Igor_Perin_Thesis.pdf.

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Recent advances in power converter and energy storage technologies have the potential to enhance the power quality management, improve the utilization, and, consequently, reduce both capital and operational costs associated with electric railway networks. This thesis examines the new technologies and new uses of existing technologies and their suitability for integration into the AC traction power network. It includes a comprehensive comparison of the potential technical and commercial benefits of various technologies and topologies. The study is generally applicable to 25 kV or 50 kV electric railways fed from a utility grid with commercial models similar to the one described.
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Book chapters on the topic "Battery optimisation"

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Abdilla, Analiza, Arthur Richards, and Stephen Burrow. "Endurance Optimisation of Battery-Powered Rotorcraft." In Towards Autonomous Robotic Systems, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22416-9_1.

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Kerzreho, C., and J. Y. Cognard. "Design Process and Optimisation of an Integrated Electromechanical Battery." In Integrated Design and Manufacturing in Mechanical Engineering, 473–80. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9966-5_56.

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Matsumoto, Taihei, and Kenji Tanaka. "A Design Method to Achieve Decarbonisation in Airports with Battery Operation Algorithm Considering Uncertainties." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220651.

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Decarbonisation of social infrastructures such as airports have attracted wide attention. In commiting to the global decarbonisation target, introduction of renewable energy is important. However, few research has focused on the specifications of renewable energy facilities for airports. Thus, it is vital to enable airport operators to determine the necessary facility specifications for installing renewable energy systems. Moreover, the efficiency of battery operation influences the necessary facility specifications. Yet, many previous studies have proposed linear battery optimisation, even though forecasts for renewable energy supply include uncertainties derived from natural factors, and demand forecasts can also fluctuate due to future uncertainties. This study provides a framework for analysing the cost efficiency of photovoltaic systems, wind systems, and batteries to determine the optimal specifications for each hardware to achieve 100% renewable electricity. Further, it proposes a novel battery operation algorithm considering uncertainties of supply and demand forecasts. A case study on Chubu Centrair International Airport was conducted. The results show practical steps for the airport to achieve decarbonisation. In addition, battery operation based on the proposed algorithm outperformed the linear optimisation in the unpredicted rain weather scenario. It can be said that the proposed method performs well in considering uncertainties.
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Khosla, Arun, Shakti Kumar, and K. K. Aggarwal. "Swarm Intelligence and the Taguchi Method for Identification of Fuzzy Models." In Computational Intelligence and its Applications, 273–95. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-827-7.ch010.

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Nature is a wonderful source of inspiration for building models and techniques for solving difficult problems in design, optimisation, and control. More specifically, the study of evolution, the human immune system, and the collective behaviour of insects/birds have guided the origin of evolutionary algorithms, artificial immune systems, and optimisation techniques based on swarm intelligence, respectively. In this chapter, we present the use of particle swarm optimisation (PSO) and the Taguchi method for the identification of optimised fuzzy models from the available data. PSO is a member of the broad category of swarm intelligence (SI) techniques based on the metaphor of social interaction. It has been used for finding promising solutions in complex search spaces through the interaction of particles in a swarm, and is especially useful when dealingwith a high number of dimensions and situations where problem-specific information is not available. However, caution needs to be exercised in selecting PSO, as the performance of PSO largely depends on their values. In this chapter, a systematic reasoning approach based on the Taguchi method is also presented to quickly identify PSO parameters. The Taguchi method is a robust design approach that helps in optimisation, and which requires relatively few experiments. Although we focus here on the use of PSO and the Taguchi method for fuzzy model identification, these techniques have much broader use and application. In order to validate our approach, data from the rapid Nickel-Cadmium (Ni-Cd) battery charger developed by the authors were used. The results are based on real data and illustrate the viability and efficiency of the approach.
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Shboul, Bashar, Ismail Al-Arfi, Stavros Michailos, Derek Ingham, Godfrey T. Udeh, Lin Ma, Kevin Hughes, and Mohamed Pourkashanian. "Multi-Objective Optimal Performance of a Hybrid CPSD-SE/HWT System for Microgrid Power Generation." In Applications of Nature-Inspired Computing in Renewable Energy Systems, 166–210. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8561-0.ch009.

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A new integrated hybrid solar thermal and wind-based microgrid power system is proposed. It consists of a concentrated parabolic solar dish Stirling engine, a wind turbine, and a battery bank. The electrical power curtailment is diminished, and the levelised cost of energy is significantly reduced. To achieve these goals, the present study conducts a dynamic performance analysis over one year of operation. Further, a multi-objective optimisation model based on a genetic algorithm is implemented to optimise the techno-economic performance. The MATLAB/Simulink® software was used to model the system, study the performance under various operating conditions, and optimise the proposed hybrid system. Finally, the model has been implemented for a specific case study in Mafraq, Jordan. The system satisfies a net power output of 1500 kWe. The developed model has been validated using published results. In conclusion, the obtained results reveal that the optimised model of the microgrid can substantially improve the overall efficiency and reduce the levelised cost of electricity.
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Tao, Yun, Rosti Lemdiasov, Arun Venkatasubramanian, and Marshal Wong. "Segmented Coil Design Powering the Next Generation of High-efficiency Robust Micro-implants." In Wireless Power Transfer - Perspectives and Application [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105789.

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The next generation of Micro Active Implantable Medical Devices (M-AIMD) are small (< 1 cc), wireless, as well as battery-less. They are located in different parts of the body ranging from brain computer interface electrode arrays (e.g., Blackrock Neurotech Utah Array) to multi-chamber cardiac pacemakers (e.g., Abbott dual chamber Nanostim device). These devices require efficient charging and powering solutions that are very challenging to design. Such solutions require the careful balancing of multiple design parameters such as size, separation distance, orientation, and regulatory limits for emission and tissue safety. In this article, we introduce unique optimisation metrics for designing efficient transmit and receive coils for near-field magnetics-based charging solutions. We elaborate on how the metrics need to be altered depending on the regulatory limits. We discuss the impact of body tissue loading on transmit and receive coil performance using circuit analysis. We introduce a novel “segmented” transmit coil arrangement. We discuss the physics of segmentation, and we build a full wave simulation model, with practical design procedure, which is verified with measurements. Finally, we compare the near fields with and without tissue loading to show that segmented coils offer significant improvement to the performance and robustness of a wireless power transfer system.
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Conference papers on the topic "Battery optimisation"

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Khadse, Nitin M., and Jayshree R. Mundkar. "Optimisation of mCCHP-PV-battery system." In 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2016. http://dx.doi.org/10.1109/iceets.2016.7582921.

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Strickland, D., and M. A. Varnosfaderani. "Ragone plots for battery discharge optimisation." In 11th International Conference on Power Electronics, Machines and Drives (PEMD 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.1021.

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Coppez, G., S. Chowdhury, and S. P. Chowdhury. "Review of battery storage optimisation in Distributed Generation." In 2010 Power India. IEEE, 2010. http://dx.doi.org/10.1109/pedes.2010.5712406.

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Sladecek, Vaclav, Ivo Neborak, and Petr Palacky. "Optimisation of electric drive setting in battery-powered locomotive." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839448.

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Shayfull, Z., M. H. M. Hazwan, M. A. M. Nawi, M. Ahmad, Mohamad Syafiq A. K., and A. M. Roslan. "Warpage optimization on battery cover using Glowworm swarm optimisation (GSO)." In APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5118108.

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Schreiber, Philipp, Mathias Hofmann, and Marco Wieland. "Photovoltaics and battery storage—Python-based optimisation for innovation tenders." In International Renewable Energy Storage Conference 2021 (IRES 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/ahe.k.220301.010.

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Rahat, Alma As-Aad Mohammad, Richard M. Everson, and Jonathan E. Fieldsend. "Multi-objective routing optimisation for battery-powered wireless sensor mesh networks." In GECCO '14: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2576768.2598311.

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Courtier, Nicola E., Ross Drummond, Pedro Ascencio, Luis D. Couto, and David A. Howey. "Discretisation-free battery fast-charging optimisation using the measure-moment approach." In 2022 European Control Conference (ECC). IEEE, 2022. http://dx.doi.org/10.23919/ecc55457.2022.9838296.

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Cha, Minyung, Shantha G. Jayasinghe, Hossein Enshaei, Rabiul Islam, Apsara Abeysiriwardhane, and Sanath Alahakoon. "Power Management Optimisation of a Battery/Fuel Cell Hybrid Electric Ferry." In 2021 31st Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2021. http://dx.doi.org/10.1109/aupec52110.2021.9597787.

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Wang, Haibin, Evangelos Boulougouris, Alexandros Priftis, Guangyu Shi, Xue Xu, and Gerasimos Theotokatos. "Logistics Optimisation of a Fast Catamaran Ferry – A Selection of Optimal Route Considering Battery Weight and Cost." In SNAME 14th International Marine Design Conference. SNAME, 2022. http://dx.doi.org/10.5957/imdc-2022-294.

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A fast catamaran ferry planned for operation in the Thames River equipped with a battery-powered propulsion system as the prime driver is studied. Such inland waterways vessels are affected by the battery weight and cost restrictions. An energy storage model was developed to estimate the energy requirement, weight and cost of batteries to match the given operation profile. Due to the low energy density of existing battery technology compared to the traditional fossil fuels, and the limited weight allowance for the system onboard a high-speed ferry, a logistics-based optimisation approach has been implemented. It is identifying the Pareto optimal designs that fulfil the demanding endurance-battery weight-charging time-draft-wake limitations of the route. Furthermore, with the consideration of the depth of discharge, the battery life was modelled so that the replacement cost can be considered in the life cycle of the ferry. The results are discussed and valuable conclusions for consideration in future battery-driven designs are drawn.
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