| 引用本文: | 朱曰莹,赵桂范,杨娜,王大方.电动汽车动力系统参数匹配及优化[J].哈尔滨工业大学学报,2013,45(7):90.DOI:10.11918/j.issn.0367-6234.2013.07.017 |
| ZHU Yueying,ZHAO Guifan,YANG Na,WANG Dafang
.Parameters match and optimization for the drive system of electric vehicle[J].Journal of Harbin Institute of Technology,2013,45(7):90.DOI:10.11918/j.issn.0367-6234.2013.07.017 |
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| 摘要: |
| 为了实现电动汽车动力系统系统参数的优化匹配,根据电动汽车设计参数建立电动汽车整车性能仿真模型. 围绕电动汽车整车、开关磁阻驱动电机与蓄电池选择匹配问题,研究蓄电池单体容量对电动汽车整车性能的影响规律. 基于电动汽车循环行驶工况,提出一种以提高蓄电池利用效率为目标的电动汽车蓄电池参数优化匹配方案,通过引入蓄电池荷电状态(SOC)质量比系数对蓄电池单体容量及组容量进行优化选择. 以同步提高电动汽车动力性能和经济性能为目标,定义基于电动汽车循环工况的整车性能综合指标系数,对车辆传动系比进行了优化设计,并对该优化方案下电动汽车整车及开关磁阻电机动态性能进行了仿真分析. 结果表明：提出的电动汽车驱动电机、蓄电池及整车传动系比的优化匹配方案能很好地满足ECE城市循环工况的行驶要求,对改善整车动力性能,提高电池效率,增大续驶里程等都具有十分重要的意义. |
| 关键词: 电动汽车 动力系统 参数匹配 优化 电池效率 |
| DOI：10.11918/j.issn.0367-6234.2013.07.017 |
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| 基金项目:高等学校博士学科点专项科研基金(20122302120087);中国博士后科学基金(2012M520589);哈尔滨工业大学(威海)校科学研究基金(HIT(WH).201217)． |
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| Parameters match and optimization for the drive system of electric vehicle |
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ZHU Yueying, ZHAO Guifan, YANG Na, WANG Dafang
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(School of Automotive Engineering, Harbin Institute of Technology at Weihai, 264209 Shandong,Weihai, China)
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| Abstract: |
| An electric vehicle model is established based on the design parameters to match and optimize the drive system of the electric vehicle. Then the influence laws of the battery capacity for the vehicle performance are researched deeply, and a novel strategy for batteries optimization and match is proposed based on SOC-weight coefficient defined. To obtain the optimal transmission ratio and develop the vehicle dynamic performance, a new vehicle performance integration coefficient is proposed to select the most effective drive ratio for the vehicle based on the vehicle driving cycle. Finally, the motor and vehicle performance is analyzed and the simulation results show that the matched and optimized vehicle parameters greatly meet drive targets in the ECE drive cycle, and it is much significant for the electric vehicle to improve the vehicle power performance, battery efficiency and driving range. |
| Key words: electric vehicle drive system parameters match optimization battery efficiency
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