Relevant bibliographies by topics / Battery swapping

Academic literature on the topic 'Battery swapping'

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Published: 9 March 2023

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Journal articles on the topic "Battery swapping"

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Chudy, Aleksander. "BATTERY SWAPPING STATIONS FOR ELECTRIC VEHICLES." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 11, no. 2 (June 30, 2021): 36–39. http://dx.doi.org/10.35784/iapgos.2654.

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Battery swapping is a promising technology when compared with the traditional electric vehicle charging stations. The time spent at a battery swapping station might be similar to the time spent at a filling station. The article presents information on attempts to implement this solution, methods of battery swapping, infrastructure and operation of battery swapping stations, as well as the benefits and key challenges of the battery swapping technology.
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Zu, Shengdong, and Lijiang Sun. "Optimization Model of Pure Electric Vehicle Battery-Swapping Dispatch Based on Transportation Problems." E3S Web of Conferences 185 (2020): 01026. http://dx.doi.org/10.1051/e3sconf/202018501026.

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The optimization object of pure electric vehicle battery-swapping service dispatch is making the total cost to be minimum under the condition of meeting the battery-swapping demand. The battery-swapping service requires each charging station to scientifically transport the supplementary batteries of the electricity exchange station. It is a multi-objective optimization decision-making process. With the object of minimizing the total cost of one-time transportation, applying the transportation problems theory, an optimization model of the battery-swapping service between the charging station and the exchange station was established, and a typical example was analyzed. The results show that the battery-swapping service transportation line is one of the main factors affecting the cost of pure electric vehicle battery-swapping service dispatch.
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Wang, Xin, Jing Wang, and Yan Zhang. "Research on a Current Electric Bus Battery Swapping System Based on the Cartesian Coordinate Robot." Applied Mechanics and Materials 713-715 (January 2015): 715–18. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.715.

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Electric vehicle is a prominent representative domain in the exploitation of new energy resources, which will be the trend of automotive industry in the future. The purpose of the scheme is to provide a current electric bus battery swapping system based on the Cartesian coordinate robot to solve the pressure of petroleum resources and air pollution. In this paper, the battery swapping robot and battery pack lifting robot are the key of the battery swapping system, which will be discussed in detail. Experiments show that the positioning precision during the swapping process is high, the position is accuracy, and the swapping speed is moderate.
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Qiang, Hao, Yanchun Hu, Wenqi Tang, and Xiaohua Zhang. "Research on Optimization Strategy of Battery Swapping for Electric Taxis." Energies 16, no. 5 (February 27, 2023): 2296. http://dx.doi.org/10.3390/en16052296.

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Nowadays, sustainability-related issues have attracted growing attention due to fossil fuel depletion and environmental concerns. Considering many cities have gradually replaced taxis with electric vehicles (EVs), to reduce greenhouse gas emissions and traditional energy consumption, this paper studies the optimization strategy of battery swapping for electric taxis (ETs), and it is not only to ease congestion in the battery swapping station (BSS) but also for electric taxis to address their range anxiety and maximize their benefits. Firstly, based on the road network, the Dijkstra algorithm is adopted to provide the optimal path for ETs to BSSs with the minimum energy consumption. Then, this paper proposes the optimization objective function with minimum cost, which contains the battery service cost based on the battery’s state of charge, waiting cost caused by waiting for swapping battery in BSSs and the carbon emission reduction benefit generated during ETs driving to BSSs, and uses a mixed-integer linear programming (MILP) algorithm to solve this function. Finally, taking the Leisure Park of Laoshan City in Beijing as an example, the numerical simulation is carried out and the proposed battery swapping strategy is efficient to alleviate the congestion of BSSs and maximize the total benefit of ETs, and the cost based on the proposed strategy is 14.21% less than that of disorderly swapping.
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Wu, Xiaoyuan, Pengyu Liu, and Xinbao Lu. "Study on Operating Cost Economy of Battery-Swapping Heavy-Duty Truck in China." World Electric Vehicle Journal 12, no. 3 (September 4, 2021): 144. http://dx.doi.org/10.3390/wevj12030144.

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In recent years, battery-swapping heavy-duty trucks have seen rapid growth in China. Summarizing from the practical experiences gained in this development, and starting from market research and analysis of the most typical city of application case, Beijing, we aim to achieve the following: (ⅰ) Establish an operating cost model for battery-swapping heavy-duty trucks throughout a full operation cycle from the perspective of a heavy-duty truck freight transport capacity operator, based on four key cost dimensions, including transportation equipment, operation and maintenance, environmental protection compensation, and battery recycling compensation. (ⅱ) Calculate and compare the operating cost economy of battery-swapping heavy-duty trucks and other types of heavy-duty truck under different energy supplement modes, including charging, hydrogenation, and diesel. (ⅲ) Propose suggestions for faster and more successful heavy-duty truck electrification. The results indicate that battery-swapping heavy-duty trucks have good cost economy in a full operation cycle under specific scenario, and their economy will be improved with the popularization of battery-swapping stations.
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Wu, Yongzhong, Siyi Zhuge, Guoxin Han, and Wei Xie. "Economics of Battery Swapping for Electric Vehicles—Simulation-Based Analysis." Energies 15, no. 5 (February 25, 2022): 1714. http://dx.doi.org/10.3390/en15051714.

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As electric vehicles have become increasingly popular in recent years, battery swapping technology has been promoted as an alternative to the time-consuming battery charging process. Nevertheless, battery swapping is held back by the trade-off between the additional battery investment and the short service time for users. In this paper, we developed simulation models to analyze the economics of battery swapping systems. In particular, we collected real data from eight battery swapping stations Guangzhou, China for the analysis. The results show that the service levels of the stations are reduced significantly as the number of users increases. On the other hand, economies of scale exists when implementing the battery swapping system. As the number of users increases, to maintain the same level of service level, the cost of the batteries shared by each user decreases. The analysis also suggests that, given the scale of potential users for an area, the marginal utility of increasing the number of stations will diminish. Finally, to maximize the utility and economic return of the service, we identified that there is a trade-off between the number of stations and the amount of batteries equipped in each station.
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Bhumarkar, Prafull. "Optimal Cost Analysis of Battery Swapping Station for EV Using PSO." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 2060–67. http://dx.doi.org/10.22214/ijraset.2021.39162.

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Abstract: Electric vehicles are the demand of the current scenario to fight with the increasing levels of pollution. Electric vehicles operate by getting power from the battery which needs to be charged after a particular duration. Battery swapping stations are used for providing the optimal power for charging these batteries. An algorithm known as Particle swarm optimization can be used to find the optimal cost of these battery swapping stations. The project presents an expository study about ParticleSwarm Optimization and thus various factors related to it. Keywords: Battery Swapping Station, Battery Charging Station, Load flow Analysis, Particle Swarm Optimization
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Wang, Xin, and Jing Wang. "Research on Electric Vehicle Charging & Battery Swapping Robot System." Applied Mechanics and Materials 494-495 (February 2014): 20–23. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.20.

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Electric Vehicle will be the main trend of automotive industry in the future. The purpose of the scheme is to provide electric vehicle charging & battery swapping robot system based on palletizing robot for solving the double pressure of resources and environment problems. In this paper, the battery swapping robot is the key of the system, and will be mainly discussed from the mechanical body and electrical control part in detail. Experiments show that the positioning precision during the battery swapping process is high, the relative displacement is small, the position is accuracy, and the swapping speed is moderate.
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Purnamasari, B. D., T. A. A. Jamaluddin, H. Halidah, and F. Armansyah. "Cost and benefit battery swapping business model for indonesian electric two-wheeler." IOP Conference Series: Earth and Environmental Science 1108, no. 1 (November 1, 2022): 012010. http://dx.doi.org/10.1088/1755-1315/1108/1/012010.

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Abstract Government of Indonesia (GoI) plan to achieve Net Zero Carbon by 2060. One of implementation through Electric Vehicle in the transportation sector where it will drive the reduction of emission and accelerate the demand of global battery. Indonesia has strong position in terms of integrated battery industry. In order to support Electric Vehicle ecosystem, one of value chain related to charging station infrastructures. Nowadays, the charging method for electric vehicles commonly used are battery swapping, conductive and inductive charging. In this paper, we will consider battery charging of electric vehicles, especially electric two-wheeler. In this case, the problem of excessive battery charge time is the main consideration of the users. The development of Battery Swapping Station (BSS) may be an alternative to solving these problems. In the meantime, Battery Swapping Station (BSS) needs a high-level view from stakeholders to understand the cost-benefit ratio of this alternative technology. The objectives of this research are to identify, analyze, and evaluate the current Battery Swapping Station (BSS) technology in market. In this research, it is necessary to have results to establish the policy for manufacture considers large capacity batteries and the standards such as types and specification of batteries as well as swapping stations.
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Liu, Zhengke, Xiaolei Ma, Xiaohan Liu, Gonçalo Homem de Almeida Correia, Ruifeng Shi, and Wenlong Shang. "Optimizing Electric Taxi Battery Swapping Stations Featuring Modular Battery Swapping: A Data-Driven Approach." Applied Sciences 13, no. 3 (February 3, 2023): 1984. http://dx.doi.org/10.3390/app13031984.

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Optimizing battery swapping station (BSS) configuration is essential to enhance BSS’s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping mode (BSM) that allows ET drivers to choose the number of battery blocks to rent according to their driving range requirements and habits, improving BSS’s economic profitability and operational flexibility. We further develop a data-driven approach to optimizing the configuration of modular BSS considering the scheduling of battery charging at the operating stage under a scenario of time-of-use (ToU) price. We use the travel patterns of taxis extracted from the GPS trajectory data on 12,643 actual taxis in Beijing, China. Finally, we test the effectiveness and performance of our data-driven model and modular BSM in a numerical experiment with traditional BSM as the benchmark. Results show that the BSS with modular BSM can save 38% on the investment cost of purchasing ET battery blocks and is better able to respond to the ToU price than to the benchmark. The results of the sensitivity analysis suggest that when the peak electricity price is too high, additional battery blocks must be purchased to avoid charging during those peak periods.
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Dissertations / Theses on the topic "Battery swapping"

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Pedron, Alessandro <1988&gt. "Possibilità di sviluppo del mercato delle auto elettriche tramite il battery swapping." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4187.

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Le auto elettriche sono limitate nella loro diffusione da alcune criticità relative alla ridotta autonomia, i lenti tempi di ricarica e l'elevato costo dovuto prevalentemente al pacco batterie. Il battery swapping, la sostituzione delle batterie scariche in un apposito centro automatizzato, permette di aggirare questi problemi, ma è necessario appurare se è una soluzione realizzabile e le relative problematiche. Lo studio si concentra su questi aspetti considerando le possibilità di crescita del mercato delle auto elettriche tramite la diffusione di questo sistema.
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Infante, William Ferrer. "Stochastic Approaches in Developing Business Models and Strategies for Electric Vehicle Battery Swapping Stations." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21341.

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With the influx of electric vehicles, rise of renewable energy sources, and increased deregulation in the electricity market, aggregators such as battery swapping stations with sustainable operational strategies and business models are needed to resolve these challenges to benefit the relevant stakeholders: electric vehicle drivers, battery swapping station owners and distributing company operators. Attempts were already made to create models and strategies for swapping stations, but unfortunately, no comprehensive model addresses the uncertainties inherent in the design and the decisions of relevant stakeholders. This research aims to present practical yet comprehensive stochastic approaches for swapping station business models and operational strategies. Depending on the available information and computing power, the developed models and strategies explored the long-term feasibility and stakeholder reviews using the time-sequence Monte Carlo approach, two-stage optimization techniques and distributed optimization. Two-stage techniques used are optimization with recourse, bilevel programming with Karush-Kuhn-Tucker optimality condition reformulations and multiobjective optimization. Aggregated EV batteries in the station act as a form of distributed energy storage supporting the intermittent renewable energy sources in managing peak loads. For the practical implementation of the business models, complementary electric vehicle station visit forecasting strategies were also proposed ranging from peak-based, conventional arrival, and previous visit dependency techniques. This research has shown how policies for swapping station business models and operational strategies can be developed considering the uncertainties in the swapping design and the decisions of relevant stakeholders.
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CARFAGNA, GIUSEPPE. "Integrated energy interchange platform between green system of smart housing and smart mobility." Doctoral thesis, Università degli Studi di Camerino, 2018. http://hdl.handle.net/11581/408083.

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In recent years, the need for personal urban mobility has increased a lot especially in emerging and developing countries. It becomes increasingly important to explore propulsion systems that use alternative energy sources and are related to the chain of production, storage and use of renewable energy. Several studies have been conducted in this area, but very few have achieved solutions for the interaction of the vehicle with the building by which it is parked in terms of a multi-energy exchange. Technological innovation of house plant parts, of large residences / hotels, of shelter stations for vehicles, it is now crucial to implement the integration of more renewable energy sources within the same building structure: this is one of the aspects covered by the most general definition of "Smart Housing". Sustainable mobility is perceived as a strong need to match individual urban and sub-urban mobility, to the least environmental and social impact of such personal need. This research project proposes a possible scenario for energy integration between smart housing and smart mobility using a common energy platform that allows self-generation, storage and energy exchange between residential district buildings and smart vehicles. The project integrates multidisciplinary approaches with the aim of designing, evaluating technical and industrial feasibility for the development of: 1) Modular and scalable energy storage devices dedicated to a smart house. 2) a modular city vehicle, with high flexibility of use, with energy storage system and energy-efficient switching capabilities with smart building.
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FU, SHU-YUAN, and 傅淑媛. "The Satisfaction of Battery Swapping Station for Electric Motorcycle." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/f3tdq5.

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碩士
逢甲大學
工業工程與系統管理學系
106
The theme of this research is based on satisfaction survey of battery exchange stations for electric-motorcycle. Starting with overviews of current electric motorcycle market in Taiwan. Using the SERVQUAL scale, it analyzes how the consumer is evaluating business model of the battery exchanges. Research methods are questionnaires involving how to satisfy the costumer, upon using battery exchange station and most important, the cost of running the station.Then using SPSS to conduct statistical analysis and hypothesis verification, and empirically analyze consumer usage behavior and influences on the purchase intention. By gathering relevant datas, this research hopes draw specific conclusion on the customer's consumption factors, and to make ways for the government to raise electric motorcycle's visibility, at the same time for the manufactures gain edges on competitors by creating products that can improve customer satisfaction and gain customer loyalty.
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Lou, Si-Yan, and 樓熹妍. "A Location Problem of Battery-Swapping Stations for Electric Scooters." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ns4u9r.

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碩士
國立臺灣大學
土木工程學研究所
105
Because of the global warming, governments in many countries replace fossil fuel with green energy. In Taiwan, greenhouse emission from transportation industry accounts for twenty-two percent of total air pollution. In order to reduce pollution, some country (city) governments will compensate for those users who switch from gasoline-fueled scooter to electric scooter. Therefore, there are more and more electric scooter users in Taiwan for recent years. The charging systems of electric scooter can be generally divided into two; one is charging batteries and the other is swapping batteries. The former means that users charge their own batteries and the latter users swap the low power battery with high one. Batteries swapping system can be defined as a process that users exchange a lower power battery for higher one at the specific location, swapping batteries station. Due to the special design swapping batteries station, electric vehicle system can extend the battery Life-cycle and collect the Driving Behavior data. Thus, batteries swapping system has become the main service for electric scooter users to charge energy. The topic of this research is to decide the location of batteries swapping stations which considering batteries activity (charging or staying full capacity) at swapping station and batteries activity at user side (consuming or waiting for battery). The problem is formulated as a stochastic programming problem. The objective of this paper is to minimize the total expected cost of station installation cost and the user swapping inconvenience.
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TONG, CHIA-YUN, and 董家昀. "An Optimization of Electric Scooter Battery swapping station Operation Cost." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e536x7.

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碩士
逢甲大學
工業工程與系統管理學系
106
In this study, we used a particle swarm optimization algorithm to solve the minimize cost of an electric scooter battery swapping and used Matlab 2015b to assist in the composition of the PSO. In order to analyze the problems commonly faced by battery swapping stations, that is, sometimes no full battery can be swap, so we have built a mathematical model to solve the following problems. How many batteries should be prepare and how much battery inventory is needed, and considering the cost of damage to the charge, these issues need to be balanced. Expect to help domestic electric mobility companies, while setting up battery exchange stations and expanding the power grid, can help assess the number of batteries that need to be set up.
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劉昭吟. "Application of Erlang’s Loss Model to Capacity Decision in Battery Swapping Station." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/bp82gz.

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碩士
國立中正大學
企業管理系研究所
106
In a battery swapping station (BBS), blocking occurs when an arriving customer finds no fully-charged batteries available for swapping. Service level of BSS depends on how often blocking occurs, and the probability of blocking in turn is determined by the capacity of BSS, battery characteristics, swapping policies, etc. This thesis aims at investigating the impact of capacity, charging ability, swapping policies and replacement conditions on the blocking probability of a single BSS. 　　Based on Erlang’s Loss Model, we develop in this thesis different queueing models that take into consideration of the effect of broken batteries in BSS. The objective is to analyze, through the developed queueing models, how the blocking probability is affected by the station capacity, the maximal broken batteries allowed, battery charging ability, and swapping policies and replacement conditions. Detailed sensitivity analysis of numerical examples is conducted, which may provide useful information for capacity decision making of BSS for electric vehicle suppliers.
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Chen, Yun-Ju, and 陳韻如. "Location Optimization of Battery Swapping Stations for Electric Scooters using Stochastic Discrete-event Simulation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/x6cug3.

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碩士
國立臺灣大學
土木工程學研究所
107
In recent years, along with raising environmental consciousness, an innovative transportation mode—electric vehicles have gotten many attentions. Because the power source of electric vehicles is electric power, a renewable and environmentally friendly energy, worldwide countries have been devoted to the popularization of electric vehicles and Taiwan is no exception. However, there are two principal challenges for the penetration of electric vehicles: the limited endurance of the mode and its expensive batteries. The limited endurance lets the user has to refuel the energy during a certain using period and the problem of range anxiety comes out. Hence, an auxiliary equipment—the refueling facility is necessary for electric vehicles and it is essential to locate the charger appropriately. Actually, there already are many types of refueling methods and one of the innovative and promising ways is the swapping system. The swapping system reduces the entire refueling time from original several hours to a few minutes or even seconds. This user-friendly advantage lets the user conducts the refueling on the road become much more possible but on the other side, this benefit also increases the need for spare batteries. Therefore, not only the location but also the capacity of swapping stations has to be cautiously determined by the operator. Nevertheless, it is thorny to decide where and how big the swapping station should be directly, so the purpose of this research is to develop a model for deploying the refueling facilities of the swapping system. In addition, because the most popularized transportation mode in Taiwan is scooters, the research object of this study is electric scooters. In order to enhance the applicability of the model and depict the usage behavior conveniently, the methodology adopted in this study combines the genetic algorithm and the discrete-event simulation forming a two-stage planning. In addition, considering the usage habits of the swapping system, the notion of flow interception is adopted in the model. After the sensitivity analysis of experiments, it is found that different parameters have diverse impacts on different shapes of demand spatial distribution. Regular spatial distribution is much more sensitive to the budget and the irregular one is sensitive to the power consumption rate of batteries. Noteworthily, a factor significantly influencing both the shape of demand distribution is the driving endurance. With the case study in the reality, some setting instructions for such a location problem have been obtained. The operator who is going to plan a layout for swapping stations should adopt the entire traffic “flow” rather than the traffic “zone”. Besides, the operator should give a locating priority to the station where is near heavy traffic flows regardless of the shape of demand distributions. Further, considering the user’s maximum tolerable driving distance for swapping, the operator should radially deploy the station taking origins and destinations as the center. Many important factors are considered in the model such as the demand uncertainty, driving endurance, the tolerance of the user, usage behavior and the varied charging power levels by charging time. This is the first time that a model takes these significant factors into account at the same time. What’s more, after the experiments and the case study, the utility and validity of the model are exhibited and these results also show the importance of considering usage behavior. Thus, this model can be a useful tool to help the operator to decide a proper deployment of swapping stations for electric scooters.
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Book chapters on the topic "Battery swapping"

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Zhang, Yuqing. "Electric Vehicle Battery Charging Scheduling Under the Battery Swapping Mode." In Lecture Notes in Operations Research, 269–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90275-9_22.

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Huang, Fei-Hui. "Measuring User Experience of Using Battery Swapping Station." In Advances in Intelligent Systems and Computing, 656–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60492-3_62.

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Huang, Fei-Hui. "Measuring User Experience of Seniors in Battery Swapping Interactions." In Intelligent Human Systems Integration, 508–14. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_79.

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Huang, Fei-Hui. "Exploring Information Needs of Using Battery Swapping System for Riders." In Human Interface and the Management of Information: Applications and Services, 531–41. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40397-7_51.

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Raj, Neha, Manikanta Suri, and K. Deepa. "Integration of Battery Charging and Swapping Using Metaheuristics: A Review." In Lecture Notes in Electrical Engineering, 247–58. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2354-7_23.

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Kumar, Mukesh, and Sarita Baghel. "Solar Energy Production Onsite for Battery Swapping Stations in Delhi." In Lecture Notes in Mechanical Engineering, 149–56. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9613-8_14.

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Hussain, Md Muzakkir, Mohammad Saad Alam, and M. M. Sufyan Beg. "A FOG Computing Based Battery Swapping Model for Next Generation Transport." In Proceedings of 2nd International Conference on Communication, Computing and Networking, 957–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1217-5_94.

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Jatschka, Thomas, Fabio F. Oberweger, Tobias Rodemann, and Gunther R. Raidl. "Distributing Battery Swapping Stations for Electric Scooters in an Urban Area." In Optimization and Applications, 150–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62867-3_12.

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Huang, Fei-Hui. "System Acceptability Evaluation of Battery Swapping System for Electric Two Wheelers." In Advances in Ergonomics Modeling, Usability & Special Populations, 325–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41685-4_29.

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Jatschka, Thomas, Matthias Rauscher, Bernhard Kreutzer, Yusuke Okamoto, Hiroaki Kataoka, Tobias Rodemann, and Günther R. Raidl. "A Large Neighborhood Search for Battery Swapping Station Location Planning for Electric Scooters." In Computer Aided Systems Theory – EUROCAST 2022, 121–29. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_14.

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Conference papers on the topic "Battery swapping"

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Jain, Shubham, Zaurez Ahmad, Mohammad Saad Alam, and Yasser Rafat. "Battery Swapping Technology." In 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2020. http://dx.doi.org/10.1109/icraie51050.2020.9358366.

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Lee, Danny, Joe Zhou, and Wong Tze Lin. "Autonomous battery swapping system for quadcopter." In 2015 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2015. http://dx.doi.org/10.1109/icuas.2015.7152282.

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Lu, Honghao. "Electric Vehicle Battery Swapping Station Design." In PRIS 2020: 2020 International Conference on Pattern Recognition and Intelligent Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3415048.3416105.

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Murali, Vidhya, Abhik Banerjee, and Vijendran Gopalan Venkoparao. "Optimal Battery Swapping Operations Using Reinforcement Learning." In 2019 Fifteenth International Conference on Information Processing (ICINPRO). IEEE, 2019. http://dx.doi.org/10.1109/icinpro47689.2019.9092262.

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Pradhan, Rohan, Shaswat Saxena, Akarsh Kumar Singh, and Jabir Ali. "Battery Swapping System for the Electric Vehicles." In 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). IEEE, 2022. http://dx.doi.org/10.1109/icccis56430.2022.10037225.

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Dreyfuss, Michael, and Yahel Giat. "Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System." In 6th International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006115000380046.

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You, Pengcheng, Zaiyue Yang, and Yongmin Zhang. "Efficient battery charging schedule of battery-swapping station for electric buses." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330563.

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You, Pengcheng, Peng Cheng, John Z. F. Pang, and Steven H. Low. "Efficient Online Station Assignment for EV Battery Swapping." In e-Energy '18: The Ninth International Conference on Future Energy Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3208903.3212032.

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Hui, Qi, and Wang Xin. "Electric bus battery-swapping system based on robots." In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2012. http://dx.doi.org/10.1109/cecnet.2012.6202178.

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10

Wang, Yang, Liusheng Huang, Hao Wei, Wei Zheng, Tianbo Gu, and Hengchang Liu. "Planning Battery Swapping Stations for Urban Electrical Taxis." In 2015 IEEE 35th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2015. http://dx.doi.org/10.1109/icdcs.2015.87.

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