Dynamic Programming-based Optimization of Electric Vehicle Fleet Charging
IEEE International Electrical Vehicle Conference (IEVC 2014), Florence, Italy2014The paper deals with charging optimization for delivery electric vehicle fleets based on dynamic programming method. Charging of each individual vehicle within the fleet is optimized separately, thus providing globally optimal solution on the vehicle level. By posing an upper constraint on the grid power used for charging, the individual charging optimizations are coupled together on the fleet level in a suboptimal way. Consecutive optimizations for each vehicle within the fleet are conducted for different orders of individual vehicle optimizations. In this way the sensitivity of optimization results with respect to ordering of charging optimizations can be analysed and a solution closer to global optimum can be found. The obtained optimization results are used for the purpose of validation of previously developed aggregate battery models and corresponding heuristic method dealing with distribution of optimal aggregate power over individual vehicles. electric vehicle; fleet; modeling; charging; optimization; dynamic programming
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IEEE International Electrical Vehicle Conference (IEVC 2014), Florence, Italy
2014
Cited by 13
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[1] Optimization of emission scheduling in microgrids with electric vehicle integration🔗Sustainable Energy Research, 2024
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[2] Peak load minimization of an e-bus depot: impacts of user-set conditions in optimization algorithms🔗Energy Inform., 2021
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[4] Blockchain and Fuzzy Logic Application in EV’s Charging🔗IEEE International Conference on Renewable Energy Research and Applications, 2020
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[5] Finite Element Methodologies Application in EV’s Charging Infrastructure Planning🔗International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2020
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[6] A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid🔗IEEE transactions on intelligent transportation systems (Print), 2019
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[7] Multi-Area Self-Adaptive Pricing Control in Smart City With EV User Participation🔗IEEE transactions on intelligent transportation systems (Print), 2018
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[13] Dynamic Model for the EV’s Charging Infrastructure Planning Through Finite Element Method🔗IEEE Access, 2020