Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight

Jigao Niu; Zhaojun Wang; Pengbo Zhang; Yunlong Yang; Kai Zhang; Chunhua Xu

doi:10.16578/j.issn.1004.2539.2021.05.020

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Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight

Test·Analysis | 更新时间：2022-11-10

- Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight
- Journal of Mechanical Transmission Vol. 45, Issue 5, Pages: 133-138(2021)
- 作者机构：
  
  1.中原工学院机电学院，河南郑州 450007
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2021.05.020
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牛继高,王招君,张朋播等.基于Cruise和Isight的两挡电动汽车传动系统匹配与优化[J].机械传动,2021,45(05):133-138.

Niu Jigao,Wang Zhaojun,Zhang Pengbo,et al.Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight[J].Journal of Mechanical Transmission,2021,45(05):133-138.
牛继高,王招君,张朋播等.基于Cruise和Isight的两挡电动汽车传动系统匹配与优化[J].机械传动,2021,45(05):133-138. DOI： 10.16578/j.issn.1004.2539.2021.05.020.

Niu Jigao,Wang Zhaojun,Zhang Pengbo,et al.Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight[J].Journal of Mechanical Transmission,2021,45(05):133-138. DOI： 10.16578/j.issn.1004.2539.2021.05.020.

摘要

针对两挡电动汽车动力传动系统匹配与优化问题，根据整车设计参数及目标要求，通过理论计算对纯电动汽车驱动电机、动力电池、变速器等核心部件进行动力性匹配，运用Cruise仿真软件建立目标车辆的整车模型，并对匹配结果进行仿真验证。在动力性满足设计要求的前提下，为进一步改善经济性，搭建Cruise和Isight联合仿真模型，采用改进的非支配排序遗传算法（NSGA-Ⅱ），对传动系统传动比进行多目标优化，获得兼顾动力性和经济性的最优方案。优化结果表明，优化后NEDC（New european driving cycle）循环工况下电耗比优化前降低了0.38 kWh/100 km，经济性提高2.4%；0～100 km/h加速时间比优化前降低0.95 s，动力性提高7.5%。

Abstract

Aiming at the problem of matching and optimization of the power transmission system of two-speed electric vehicles， according to the design parameters and target requirements of the whole vehicle， the power matching of the core components such as the drive motor， power battery， and transmission of the pure electric vehicle is carried out through theoretical calculations， and by using the Cruise simulation software， the vehicle model of the target vehicle is established， and the matching result is simulated and verified. On the premise that the dynamic performance meets the design requirements， in order to further improve the economy， a joint simulation model of Cruise and Isight is built， and an improved non-dominated sorting genetic algorithm （NSGA-Ⅱ） is adopted to optimize the transmission ratio of the transmission system with multiple objectives to achieve the best solution for power and economy. The optimization results show that the power consumption under the optimized NEDC （New european driving cycle） cycle is reduced by 0.38 kWh/100 km， and the economy is increased by 2.4%. The acceleration time of 0~100 km/h is reduced by 0.95 s compared with that before the optimization， and the power performance increased by 7.5%.

关键词

联合仿真速比优化Isight软件非支配排序遗传算法

Keywords

Co-simulationSpeed ratio optimizationIsight softwareNSGA-Ⅱ

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