两挡纯电动汽车传动系统参数优化和试验对比

摘要/Abstract

摘要： 为提高纯电动汽车驱动效率，参照一款两挡双离合(DCT)纯电动汽车，改用两挡机械式自动变速器(AMT)传动系统方案，建立多目标遗传算法的参数匹配模型。以电机峰值功率和峰值扭矩为综合设计目标，以整车动力性指标为限制条件，优化电机参数；为增加纯电动汽车续驶里程，优化传动系统高效工作区间，以整车综合工况电池耗电量最小为设计目标，以整车动力性指标和平顺性指标为约束条件，运用全局优化遗传算法对纯电动汽车两挡AMT齿轮速比进行优化，并与纯电动两挡匹配车型和纯电动两挡DCT试验车型作对比。研究结果表明：相较于纯电动两挡匹配车型，优化后的车型0～100 km/h加速时间缩短了5.79%，NEDC工况续驶里程提升了0.31%，HWFET工况续驶里程增加了1.44%；相较于纯电动两挡DCT试验车型，优化后的车型0～100 km/h加速时间缩短了10.31%，NEDC工况续驶里程增加了5.85%。

关键词: 多目标遗传算法, 参数匹配, 齿速比优化, 续驶里程

Abstract: To improve the driving efficiency of pure electric vehicles, by using the transmission scheme of two-speed automated mechanical transmission(AMT), a parameter matching model of multi-objective genetic algorithm was developed based on a two-block dual clutch transmission(DCT) electric vehicle. The peak power and peak torque of motor were taken as the integrated design goal. Meahwhile, the parametric matching design of motor was carried out with the vehicle dynamic index as the limited conditions. To improve the pure electric vehicle driving ranges and optimize the transmission system's efficient working ranges, the minimum power consumption of vehicle integrated conditions was chosen as the design goal. Based on the constraint conditions of vehicle dynamics and ride comfort indexes, a global optimization genetic algorithm was used to optimize the pure electric vehicle performance with two-speed ratio transmission. Then, the comparisons between the pure electric vehicle with AMT matching model and the DCT electric vehicle reference model were presented. The results indicate that the time of 100 kilometer acceleration for the optimized model is reduced by 5.79%, the new European driving cycle(NEDC) operating range mileage is increased by 0.31%, and the mileage of highway fuel economy test(HWFET) operating conditions is increased by 1.44%. Futhermore, it may be seen that the time of 100 kilometer acceleration is reduced by 10.31%, and the mileage of NEDC operating range is increased by 5.85% compared to the DCT reference model.

Key words: multi-objective genetic algorithm, parameter matching, gear ratio optimization, range mileage

中图分类号:

U461
TH113

盛继新1;张邦基1;朱波2;王明1;金秋谈1. 两挡纯电动汽车传动系统参数优化和试验对比[J]. 中国机械工程.

SHENG Jixin1;ZHANG Bangji1;ZHU Bo2;WANG Ming1;JIN Qiutan1. Parameter Optimization and Experimental Comparison of Two-speed Pure Electric Vehicle Transmission Systems[J]. China Mechanical Engineering.

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