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Relevant bibliographies by topics / Hybrid management control systems

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Academic literature on the topic 'Hybrid management control systems'

Author: Grafiati

Published: 24 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Hybrid management control systems"

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Tomlin, C., G. Pappas, J. Lygeros, D. Godbole, S. Sastry, and G. Meyer. "Hybrid Control in Air Traffic Management Systems 1." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5512–17. http://dx.doi.org/10.1016/s1474-6670(17)58559-6.

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van der Laan, Erwin, Marc Salomon, Rommert Dekker, and Luk Van Wassenhove. "Inventory Control in Hybrid Systems with Remanufacturing." Management Science 45, no. 5 (May 1999): 733–47. http://dx.doi.org/10.1287/mnsc.45.5.733.

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Bongermino, Elisabetta, Michele Tomaselli, Vito G. Monopoli, Gianluca Rizzello, Francesco Cupertino, and David Naso. "Hybrid Aeronautical Propulsion: Control and Energy Management." IFAC-PapersOnLine 50, no. 2 (December 2017): 169–74. http://dx.doi.org/10.1016/j.ifacol.2017.12.031.

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Zhang, Wei, and Jianghai Hu. "Dynamic buffer management using optimal control of hybrid systems." Automatica 44, no. 7 (July 2008): 1831–40. http://dx.doi.org/10.1016/j.automatica.2007.10.036.

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Chen, Mo, and Claire J. Tomlin. "Hamilton–Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 333–58. http://dx.doi.org/10.1146/annurev-control-060117-104941.

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Autonomous systems are becoming pervasive in everyday life, and many of these systems are complex and safety-critical. Formal verification is important for providing performance and safety guarantees for these systems. In particular, Hamilton–Jacobi (HJ) reachability is a formal verification tool for nonlinear and hybrid systems; however, it is computationally intractable for analyzing complex systems, and computational burden is in general a difficult challenge in formal verification. In this review, we begin by briefly presenting background on reachability analysis with an emphasis on the HJ formulation. We then present recent work showing how high-dimensional reachability verification can be made more tractable by focusing on two areas of development: system decomposition for general nonlinear systems, and traffic protocols for unmanned airspace management. By tackling the curse of dimensionality, tractable verification of practical systems is becoming a reality, paving the way for more pervasive and safer automation.

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Reddy, Y. Jaganmohan, Y. V. Pavan Kumar, Anilkumar Ramsesh, and K. Padma Raju. "Dynamic Control Algorithm for Energy Management In Hybrid Power Systems With A Novel Design for Power Quality Improvement." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 150–56. http://dx.doi.org/10.15373/22778179/may2013/53.

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Wu, Zhangling, Peiquan Jin, Chengcheng Yang, and Lihua Yue. "Efficient Memory Management for NVM-Based Hybrid Memory Systems." International Journal of Control and Automation 9, no. 1 (January 31, 2016): 445–58. http://dx.doi.org/10.14257/ijca.2016.9.1.38.

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Thomas, Walter E., Wesley J. Everman, Jayla Allen, Jim Collins, and John W. Wilcut. "Economic Assessment of Weed Management Systems in Glufosinate-Resistant, Glyphosate-Resistant, Imidazolinone-Tolerant, and Nontransgenic Corn." Weed Technology 21, no. 1 (March 2007): 191–98. http://dx.doi.org/10.1614/wt-06-054.1.

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Four field studies were conducted in 2004 to evaluate corn tolerance, weed control, grain yield, and net returns in glufosinate-resistant (GUR), glyphosate-resistant (GYR), imidazolinone-tolerant (IT), and nontransgenic (NT) corn with various herbicide systems. No significant differences between hybrid systems were observed for weed control. Limited corn injury (< 5%) was observed for all herbicide treatments. A single early POST (EPOST) system withoutS-metolachlor and sequential POST over the top (POT) herbicide systems, averaged over corn hybrids and PRE and late POST-directed (LAYBY) herbicide options, provide 93 and 99% control of goosegrass, respectively, and at least 83 and 97% control of Texas panicum, respectively. A single EPOST system withoutS-metolachlor, averaged over corn hybrids and LAYBY treatment options, provided at least 88% control of large crabgrass. When averaged over corn hybrid and PRE herbicide options, a sequential POT herbicide system alone provided at least 98, 99, 98, and 100 control of large crabgrass, morningglory species, Palmer amaranth, and common lambsquarters, respectively. The addition of ametryn at LAYBY to a single EPOST system withoutS-metolachlor was beneficial for improving control of morningglory species, common lambsquarters, and Palmer amaranth, depending on location. However, the observed increases (7 percentage points or less) are likely of limited biological significance. Grain yield was variable between hybrids and locations because of environmental differences. Consequently, net returns for each hybrid system within a location were also variable. Any POT system with or without ametryn at LAYBY, averaged over corn hybrid and PRE herbicide options, provided at least 101, 97, 92, and 92% yield protection at Clayton, Kinston, Lewiston, and Rocky Mount, NC, respectively. Net returns were maximized with treatments that provided excellent weed control with minimal inputs.

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Doff-Sotta, Martin, Mark Cannon, and Marko Bacic. "Optimal energy management for hybrid electric aircraft." IFAC-PapersOnLine 53, no. 2 (2020): 6043–49. http://dx.doi.org/10.1016/j.ifacol.2020.12.1672.

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Zhang, Hong, and Paul Georgescu. "Finite-time control of impulsive hybrid dynamical systems in pest management." Mathematical Methods in the Applied Sciences 37, no. 17 (January 16, 2014): 2728–38. http://dx.doi.org/10.1002/mma.3013.

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Dissertations / Theses on the topic "Hybrid management control systems"

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Bonvik, Asbjoern M. (Asbjoern Margido). "Performance analysis of manufacturing systems under hybrid control policies." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11038.

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Kreinar, David J. "Energy Management Techniques for Hybrid Electric Unmanned Aircraft Systems." University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton159640308960136.

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Liljefors, Oskar, and Tan Joanna. "Two Management Ideas for the Price of One : A Study About Hybrid Management Control Systems." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446695.

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The increased competition and volatile market today have led to the increased interest in agile management control systems. Previous studies have been made on the subject where researchers argue that there is a need for organizations to become agile. However, many practitioners seem hesitant to only implement agile approaches. This study explores how hybrid management control systems are developed and used over time in a large organization. This is a case study that uses semi-structured interviews to collect data. This study found that an agile management control system was not a one-size-fits-all solution. The reason for this is because organizational context and obstacles prevent the organization from fully committing to one management idea. This study concludes that organizations are hesitant to change long-time used practices. Also, managers and employees have different preferences where managers value traditional approaches more while employees prefer agile approaches. Therefore, organizations incorporate parts from various management systems that fit their organization and develop a hybrid management control system.

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Liljefors, Oskar, and Joanna Tan. "Two Management Ideas for the Price of One : A Study About Hybrid Management Control Systems." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446695.

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The increased competition and volatile market today have led to the increased interest in agile management control systems. Previous studies have been made on the subject where researchers argue that there is a need for organizations to become agile. However, many practitioners seem hesitant to only implement agile approaches. This study explores how hybrid management control systems are developed and used over time in a large organization. This is a case study that uses semi-structured interviews to collect data. This study found that an agile management control system was not a one-size-fits-all solution. The reason for this is because organizational context and obstacles prevent the organization from fully committing to one management idea. This study concludes that organizations are hesitant to change long-time used practices. Also, managers and employees have different preferences where managers value traditional approaches more while employees prefer agile approaches. Therefore, organizations incorporate parts from various management systems that fit their organization and develop a hybrid management control system.

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Borzone, Tommaso. "Decentralized control of multi-agent systems : a hybrid formalism." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0078/document.

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Au cours des dernières années, les problèmes multi-agents ont été étudiés de manière intensive par la communauté de la théorie du contrôle. L'un des sujets les plus populaires est le problème de consensus où un groupe d'agents parvient à un accord sur la valeur d'un certain paramètre ou d’une variable. Dans ce travail, nous nous concentrons sur le consensus des réseaux d'agents avec une dynamique non linéaire de poursuite de référence. Nous utilisons des interactions sporadiques modélisées par la détection relative, pour traiter le consensus décentralisé des références. La référence est donc utilisée pour alimenter la dynamique de poursuite de chaque agent. L'analyse de stabilité du système globale a nécessitée l'utilisation d'outils théoriques propre de la théorie des systèmes hybrides, en raison de la double nature de l'approche en deux étapes. L'analyse est effectuée en tenant compte de différents scénarios de topologie et interactions. Pour chaque cas, une condition suffisante de stabilité est fournie, en termes de temps minimum autorisé entre deux mises à jour de référence consécutives. Le cadre proposé est appliqué aux missions de rendez-vous et de réalisation de formation pour les robots mobiles non-holonomes. Le même problème est abordé dans le contexte d'une application réelle sur le terrain, à savoir un système de gestion de flotte pour un groupe de véhicules robotisés déployés dans un environnement industriel à des fins de surveillance et de collecte de données. Le développement d'une telle application a été motivé par le fait que cette thèse s'inscrit dans le cadre du projet FFLOR, développé par le département de recherche technologique du CEA tech
Over the last years, multi-agents problems have been extensively studied from the control theory community. One of the most popular multi-agents control topics is the consensus problem where a group of agents reaches an agreement over the value of a certain parameter or variable. In this work we focus our attention on the consensus problem of networks of non-linear reference tracking agents. In first place, we use sporadic interactions modeled by relative sensing to deal with the decentralized consensus of the references. The reference is therefore feeded the tracking dynamics of each agent. Differently from existent works, the stability analysis of the overall system required the usage of hybrid systems theory tools, due to dual nature of the two stages approach. The analysis is carried out considering different scenarios of network topology and interactions. For each case a stability sufficient condition in terms of the minimum allowed time between two consecutive reference updates is provided. The proposed framework is applied to the rendez-vous and formation realisation tasks for non-holonomic mobile robots, which appear among the richest research topics in recent years. The same problem is addressed in the context of a real field application, namely a fleet management system for a group of robotic vehicles deployable in an industrial environment for monitoring and data collection purpose. The development of such application was motivated by the fact that this thesis is part of the Future of Factory Lorraine (FFLOR) project, developed by the technological research department of the Commissariat Ã l'Ã©nergie atomique et aux Ã©nergies alternatives (CEA tech)

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Wollaeger, James P. "ITS in Energy Management Systems of PHEV's." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1330704818.

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Farrall, Simon. "A study in the use of fuzzy logic in the management of an automotive heat engine/electric hybrid vehicle powertrain." Thesis, University of Warwick, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387380.

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Elsheikh, Esam. "Management Control Systems & Performance Measurement Systems in Hybrid Organizations : The case of The Swedish Municipal Housing Corporations." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-18372.

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Municipal housing companies (MHCs) can be seen as hybrid organizations, operating under multiple institutional logics that are likely in tension with each other. Measuring the performance of hybrid organizations is a much harder exercise than measuring the performance of pure public or pure private entities. There is a lack of research in this area. To fill this gab van Helden and Reichard’s (2016a) proposed a framework that assigns typical characteristics to PMS in hybrids. The authors call for empirics to test the framework. Accordingly, the first purpose of the thesis is to test the hypotheses of this framework in practice, using a case study approach of two MHCs, MKB AB and LKF AB. The second purpose is to shed light on challenges, conflicts and even propose solutions for MCS/PMS. The thesis ended up by proposing a conceptual model for MCS/PMS that aims to reconcile conflicting goals and logics. The model integrates strategic management control tools (BSC and ERP) to support strategy implementation and formulation as well as to reconcile the different interests of the various stakeholders.

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Lashway, Christopher R. "Resilient and Real-time Control for the Optimum Management of Hybrid Energy Storage Systems with Distributed Dynamic Demands." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3515.

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A continuous increase in demands from the utility grid and traction applications have steered public attention toward the integration of energy storage (ES) and hybrid ES (HESS) solutions. Modern technologies are no longer limited to batteries, but can include supercapacitors (SC) and flywheel electromechanical ES well. However, insufficient control and algorithms to monitor these devices can result in a wide range of operational issues. A modern day control platform must have a deep understanding of the source. In this dissertation, specialized modular Energy Storage Management Controllers (ESMC) were developed to interface with a variety of ES devices. The EMSC provides the capability to individually monitor and control a wide range of different ES, enabling the extraction of an ES module within a series array to charge or conduct maintenance, while remaining storage can still function to serve a demand. Enhancements and testing of the ESMC are explored in not only interfacing of multiple ES and HESS, but also as a platform to improve management algorithms. There is an imperative need to provide a bridge between the depth of the electrochemical physics of the battery and the power engineering sector, a feat which was accomplished over the course of this work. First, the ESMC was tested on a lead acid battery array to verify its capabilities. Next, physics-based models of lead acid and lithium ion batteries lead to the improvement of both online battery management and established multiple metrics to assess their lifetime, or state of health. Three unique HESS were then tested and evaluated for different applications and purposes. First, a hybrid battery and SC HESS was designed and tested for shipboard power systems. Next, a lithium ion battery and SC HESS was utilized for an electric vehicle application, with the goal to reduce cycling on the battery. Finally, a lead acid battery and flywheel ES HESS was analyzed for how the inclusion of a battery can provide a dramatic improvement in the power quality versus flywheel ES alone.

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Capancioni, Alessandro. "Development of a predictive thermal management function for Plug-in Hybrid Electric Vehicles." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15248/.

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The present thesis is focused on the development of a predictive control strategy oriented to battery thermal management for plug-in hybrid electric vehicles (PHEVs). The basic principle of the strategy is to reduce as much as possible battery energy usage related to power request from the respective cooling circuit actuators. At this end, a thermo-hydraulic model of the in-vehicle battery cooling circuit has been developed in AMESim environment. Then, it has been implemented in an already existing Simulink vehicle model, which includes components analytical models and control strategies. The predictive aspect of the novel strategy is related to the evaluation of battery temperature over the electronic horizon on the base of input signals such as vehicle speed and road slope profile. As a consequence of temperature prediction, the developed strategy is able to establish in an energy-efficient way if cooling power is either required or not. Results highlight the advantages of applying the predictive strategy instead of a rule-based one, which is on-board implemented in each vehicle. It is shown that major energetic benefits, related to the extension of the all-electric range and the reduction of fuel consumption, take place at middle environmental temperatures, at which battery cooling power request can seriously make the difference on its drain rate. Therefore, project goal has been reached and the results can be considered an interesting starting point for further development and enhancing of predictive control strategies.

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Books on the topic "Hybrid management control systems"

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Böhme, Thomas J., and Benjamin Frank. Hybrid Systems, Optimal Control and Hybrid Vehicles. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51317-1.

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Maler, Oded, and Amir Pnueli, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36580-x.

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Di Benedetto, Maria Domenica, and Alberto Sangiovanni-Vincentelli, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45351-2.

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Henzinger, Thomas A., and Shankar Sastry, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64358-3.

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Hespanha, João P., and Ashish Tiwari, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11730637.

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Egerstedt, Magnus, and Bud Mishra, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78929-1.

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Morari, Manfred, and Lothar Thiele, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b106766.

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Alur, Rajeev, and George J. Pappas, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b96398.

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Vaandrager, Frits W., and Jan H. van Schuppen, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48983-5.

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Lynch, Nancy, and Bruce H. Krogh, eds. Hybrid Systems: Computation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46430-1.

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Book chapters on the topic "Hybrid management control systems"

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Godhavn, John-Morten, Trygve Lauvdal, and Olav Egeland. "Hybrid control in Sea Traffic Management Systems." In Hybrid Systems III, 149–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0020942.

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Kan, Ee May, Siew Leong Kan, Ngee Hoo Ling, Yvonne Soh, and Matthew Lai. "Multi-zone Building Control System for Energy and Comfort Management." In Hybrid Intelligent Systems, 41–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27221-4_4.

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Balluchi, A., M. Di Benedetto, C. Pinello, C. Rossi, and A. Sangiovanni-Vincentelli. "Hybrid control for automotive engine management: The cut-off case." In Hybrid Systems: Computation and Control, 13–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64358-3_29.

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Borri, Alessandro, Maria Domenica Di Benedetto, and Maria-Gabriella Di Benedetto. "Hybrid Modelling, Power Management and Stabilization of Cognitive Radio Networks." In Hybrid Systems: Computation and Control, 76–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00602-9_6.

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Lynch, Nancy. "High-Level Modeling and Analysis of an Air-Traffic Management System." In Hybrid Systems: Computation and Control, 3. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48983-5_3.

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Sastry, Shankar. "Hybrid control issues in Air Traffic Management Systems." In Hybrid and Real-Time Systems, 108. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0014719.

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Ripaccioli, G., A. Bemporad, F. Assadian, C. Dextreit, S. Di Cairano, and I. V. Kolmanovsky. "Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management." In Hybrid Systems: Computation and Control, 321–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00602-9_23.

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Onori, Simona. "Model-Based Optimal Energy Management Strategies for Hybrid Electric Vehicles." In Optimization and Optimal Control in Automotive Systems, 199–218. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05371-4_12.

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Djellouli, Abderrahmane, Fatiha Lakdja, and Meziane Rachid. "Control and Management of Hybrid Renewable Energy System." In Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF), 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22964-1_1.

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Lakhdara, A., T. Bahi, and A. K. Moussaoui. "Control and Management Solar-Wind-Storage Hybrid System." In Artificial Intelligence and Renewables Towards an Energy Transition, 3–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63846-7_1.

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Conference papers on the topic "Hybrid management control systems"

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Wei Zhang and Jianghai Hu. "Optimal buffer management using hybrid systems." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434921.

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Banvait, Harpreetsingh, Jianghai Hu, and Yaobin Chen. "Design of energy management system of Plug-in Hybrid Electric Vehicle using hybrid systems." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7170919.

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Wang, Wenqing, and Justin P. Koeln. "Hierarchical Multi-Timescale Energy Management for Hybrid-Electric Aircraft." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3190.

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Abstract Hybrid-electric aircraft represent an important step in the transition from conventional fuel-based propulsion to fully-electric aircraft. For hybrid power systems, overall aircraft performance and efficiency highly depend on the coordination of the fuel and electrical systems and the ability to effectively control state and input trajectories at the limits of safe operation. In such a safety-critical application, the chosen control strategy must ensure the closed-loop system adheres to these operational limits. While hierarchical Model Predictive Control (MPC) has proven to be a computationally efficient approach to coordinated control of complex systems across multiple timescales, most formulations are not supported by theoretical guarantees of actuator and state constraint satisfaction. To provide guaranteed constraint satisfaction, this paper presents set-based hierarchical MPC of a 16 state hybrid-electric aircraft power system. Within the proposed two-level vertical hierarchy, the long-term control decisions of the upper-level controller and the short-term control decisions of the lower-level controller are coordinated through the use of waysets. Simulation results show the benefits of this coordination in the context of hybrid-electric aircraft performance and demonstrate the practicality of applying set-based hierarchical MPC to complex multi-timescale systems.

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Guler, M., S. Clements, L. Wills, B. Heck, and G. Vachtsevanos. "Generic transition management for reconfigurable hybrid control systems." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946162.

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Priolkar, Jayeshkumar G., and Abhinay Gupta. "Management & control of hybrid power system." In 2015 International Conference on Innovations in Information,Embedded and Communication Systems (ICIIECS). IEEE, 2015. http://dx.doi.org/10.1109/iciiecs.2015.7193231.

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Ouyang, Quan, Fan Wang, Jian Chen, and Xiuliang Li. "Power management of PEM fuel cell hybrid systems." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896169.

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Yang, Jie, and Guoming G. Zhu. "Predictive Boundary Management Control of a Hybrid Powertrain." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6009.

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Hybrid Electric Vehicle (HEV) is capable of improving fuel economy with reduced emissions over traditional vehicles powered by the internal combustion engine alone. However the HEV durability is significantly limited by the battery useful life; and the battery life could be significantly reduced if it was operated over its allowed charging or discharging limits, which could occur especially at extremely low battery temperatures, leading to permanent battery damage and reduced battery life. In order to extend the battery life, this paper proposed a battery boundary management control strategy based upon the predicted desired torque to proactively make the engine power available to reduce future battery over-discharging. The proposed control strategy was validated in simulations and its performance was compared with the baseline control strategy under US06, and other four typical city and highway driving cycles. The simulation results show that the proposed control strategy is very effective when the battery temperature is under zero Celsius degree, and the over-discharged power is reduced more than 65% under aggressive US06 and ARB02 driving cycles, 45% under highway and city FTP and city NYCC driving cycles, and 30% under highway IM240 driving cycle, respectively.

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Deppen, Timothy O., Andrew G. Alleyne, Kim A. Stelson, and Jonathan J. Meyer. "Predictive Energy Management for Parallel Hydraulic Hybrid Passenger Vehicle." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4105.

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In this paper, a model predictive control (MPC) approach is presented for solving the energy management problem in a parallel hydraulic hybrid vehicle. The hydraulic hybrid vehicle uses variable displacement pump/motors to transfer energy between the mechanical and hydraulic domains and a high pressure accumulator for energy storage. A model of the parallel hydraulic hybrid powertrain is presented which utilizes the Simscape/Simhydraulics toolboxes of Matlab. These toolboxes allow for a concise description of the relevant powertrain dynamics. The proposed MPC regulates the engine torque and pump/motor displacement in order to track a desired velocity profile while maintaining desired engine conditions. In addition, logic is applied to the MPC to prevent high frequency cycling of the engine. Simulation results demonstrate the capability of the proposed control strategy to track both a desired engine torque and vehicle velocity.

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Wang, Feng, Mohd Azrin Mohd Zulkefli, Zongxuan Sun, and Kim A. Stelson. "Investigation on the Energy Management Strategy for Hydraulic Hybrid Wheel Loaders." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3949.

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Energy management strategies for a hydraulic hybrid wheel loader are studied in this paper. The architecture of the hydraulic hybrid wheel loader is first presented and the differences of the powertrain and the energy management system between on-road vehicles and wheel loaders are identified. Unlike the on-road vehicles where the engine only powers the drivetrain, the engine in a wheel loader powers both the drivetrain and the working hydraulic system. In a non-hybrid wheel loader, the two sub-systems interfere with each other since they share the same engine shaft. By using a power split drivetrain, it not only allows for optimal engine operation and regenerative braking, but also eliminates interferences between driving and working functions, which improve the productivity, fuel efficiency and operability of the wheel loader. An energy management strategy (EMS) based on dynamic programming (DP) is designed to optimize the operation of both the power split drivetrain and the working hydraulic system. A short loading cycle is selected as the duty cycle. The EMS based on DP is compared with a rule-based strategy through simulation.

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Zhao, Qishen, Tianheng Feng, Dongmei Chen, and Wei Li. "Power Management for a Fuel Cell/Battery/Supercapacitor Hybrid Locomotive." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3325.

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Abstract Electrification of locomotive with hybridized fuel-cell, battery and supercapacitor has drawn much attention from both the academia and industry. Unlike traditional powertrain, hybrid powertrain consists of multiple power sources with a complex drivetrain structure, various efficiency performance, and different dynamics. Therefore, it is necessary to develop a power management strategy to make sure each power source operates under a quasi-optimal condition and maximize the overall powertrain efficiency. This paper presents the development of a power management framework for a novel hybrid locomotive consisting of PEM fuel cell, battery, and supercapacitor. Both the equivalent consumption management strategy (ECMS) and the stochastic dynamic programming (SDP) are applied to solve for the optimal power split strategy. The resulted power management strategy is presented in the form of policy maps, which makes it convenient for real-time in-vehicle implementations. Simulation results indicate that the SDP demonstrates advantages over the ECMS in terms of equivalent hydrogen consumption over typical locomotive driving cycles.

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Reports on the topic "Hybrid management control systems"

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Henzinger, Thomas A., and Shankar Sastry. Hybrid Systems: Computation and Control. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada361329.

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Tomlin, Claire J. Software Enabled Control. Design of Hierarchical, Hybrid Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada435200.

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Teel, Andrew R. Hybrid Control Systems: Design and Analysis for Aerospace Applications. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada495350.

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Ralph, Daniel C., David D. Awschalom, Robert A. Buhrman, Ramamoorthy Ramesh, Darrell G. Schlom, Lu J. Sham, and Stuart A. Wolf. Electrical Control of Magnetic Dynamics in Hybrid Metal-Semiconductor Systems. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada610862.

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Teel, Andrew R., and Joao P. Hespanha. A Robust Stability and Control Theory for Hybrid Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada470821.

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Dullerud, Geir E. Hybrid Control for Multi-Agent Systems in Complex Sensing Environments. Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada567715.

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Rabiti, Cristian, Humberto E. Garcia, Rob Hovsapian, Robert Kinoshita, George L. Mesina, Shannon M. Bragg-Sitton, and Richard D. Boardman. Strategy and gaps for modeling, simulation, and control of hybrid systems. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1213628.

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CORPS OF ENGINEERS WASHINGTON DC. Engineering and Design: Management of Water Control Systems. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada403293.

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Steven Tom, Dale Christiansen, and Dan Berrett. Recommended Practice for Patch Management of Control Systems. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/944885.

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Salah, M. H., T. H. Mitchell, J. R. Wagner, and D. M. Dawson. Adaptive and Robust Control for Thermal Management Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada462591.

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