Parameters optimization of dual-motor EV powertrain for energy consumption

被引：0
|
作者：
Li C. [1 ]
Li Y. [1 ]
Xiao W. [1 ]
Hu J. [1 ]
Zhao L. [1 ]
机构：
[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing
来源：
| 1620年 / CIMS卷 / 23期
关键词：
Dual-motor powertrain; Dynamic performance; Economic performance; Powertrain parameters;
D O I：
10.13196/j.cims.2017.08.003
中图分类号：
学科分类号：
摘要：
Since the the dynamic performance and economic performance of pure electric vehicles were affected by parameter matching of powertrain, for a new dual-motor powertrain, a method of powertrain parameters optimization based on energy consumption was proposed. The parameters were preliminary matched based on New European Driving Cycle (NEDC). A multi-objective optimization model was established based on mode shift and power split between two motors, which took power and speed of two motors, and gear ratio as the variables, specific energy consumption and 0-100 km/h acceleration time as the optimization objectives. The model was solved by multi-objective particle swarm optimization algorithm, and the results showed that the optimized parameters of the powertrain could improve the dynamic and economic performance of a dual-motor electric vehicle. © 2017, Editorial Department of CIMS. All right reserved.
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页码：1620 / 1628
页数：8
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