Electric Vehicle Battery-Ultracapacitor Energy System Optimization

被引：0
|
作者：
Correa, Fernanda C. [1 ]
Eckert, Jony J. [2 ]
Santiciolli, Fabio M. [2 ]
Silva, Ludmila C. A. [2 ]
Costa, Eduardo S. [2 ]
Dedini, Franco Giuseppe [2 ]
机构：
[1] Fed Technol Univ Parana, Ponta Grossa, Brazil
[2] Univ Estadual Campinas, Integrated Syst Dept, Campinas, SP, Brazil
来源：
2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2017年
关键词：
Electric vehicle; Battery powered vehicles; Battery-Ultracapacitor energy storage; Optimization; STORAGE SYSTEM; HYBRID; STRATEGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In order to improve the performances of the electric vehicle power supply, a Battery/Ultracapacitors Hybrid Energy Storage System (HESS) has been proposed. We have examined the HESS parameters for an EV configuration propelled by two in-wheel connected directly to the vehicle frontal wheels and a single EM coupled to a differential transmission system that drives the rear wheels. This paper presents a new energy management strategy for Battery/Ultracapacitor HESS to both parameters: minimize the sizing of the HESS and maximize the EV drive range. To reach this purpose, it is adopted a genetic algorithm (GA) technique. Finally, the Pareto frontier including optimal HESS parameter groups has been obtained, which indicates that it is possible to reduce the HESS mass without harming the EV drive range.
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页数：6
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