Power distribution optimization for electric vehicles with hybrid energy storage system

被引:0
|
作者
Wu X.-G. [1 ,2 ]
Hou W.-X. [1 ]
Shuai Z.-B. [3 ]
Gao M.-M. [1 ]
机构
[1] College of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin
[2] State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing
[3] Science and Technology on Vehicle Transmission Laboratory, China North Vehicle Research Institute, Beijing
来源
Wu, Xiao-Gang | 1600年 / Editorial Department of Electric Machines and Control卷 / 21期
关键词
Convex optimization; Energy efficiency analysis; Hybrid energy storage system; Power allocation;
D O I
10.15938/j.emc.2017.11.015
中图分类号
学科分类号
摘要
Convex optimization was proposed in order to minimize energy consumption and battery power variation for a semi-active hybrid energy storage system of an electric city bus. Rule-based optimization method and proposed power allocation strategy were compared based on an electric city bus running the Harbin city driving cycle in respect of analysis of energy efficiency and battery power variation. The simulation results show with convex optimization power allocation strategy, battery energy efficiency, super capacitor comprehensive energy efficiency and the battery power mean square error were 98.81%, 93.46% and 5.315 3 kW. Compared with rule-based power allocation strategy, comprehensive energy efficiency of batteries and super capacitors of convex optimization results were increased by 0.74% and 0.26% respectively and its battery power variance was decreased by 46.91%. The operating characteristics of electric vehicles was improved by the proposed power optimization method. © 2017, Harbin University of Science and Technology Publication. All right reserved.
引用
收藏
页码:110 / 120
页数:10
相关论文
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