Dynamic programming-based optimization of electric vehicle fleet charging

Škugor, Branimir and Deur, Joško (2014) Dynamic programming-based optimization of electric vehicle fleet charging. = Dynamic programming-based optimization of electric vehicle fleet charging. In: 2014 IEEE International Electric Vehicle Conference (IEVC), 17-19.12.2014., Firenca, Italija.

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Dynamic Programming-based Optimization of Electric Vehicle Fleet Charging.pdf - Published Version Jezik dokumenta:English

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Official URL: http://ieeexplore.ieee.org/abstract/document/70561...

Abstract

The 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.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): electric vehicle; fleet; modeling; charging; optimization; dynamic programming
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: Yes
Indexed in Current Contents: No
Citations JCR: 0 (11.09.2018.)
Date Deposited: 13 Apr 2017 09:55
Last Modified: 11 Sep 2018 11:37
URI: http://repozitorij.fsb.hr/id/eprint/7684

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