Research on Regenerative Braking Control of Electric Vehicle Based on Multi-objective

被引:0
|
作者
Peng, Fuming [1 ]
Fang, Bin [1 ]
Shen, Zewu [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Peoples R China
关键词
energy recovery; braking force distribution strategy; multi-objective decision making;
D O I
10.1109/ACCTCS52002.2021.00074
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the strategy of brake energy recovery control for new energy electric vehicles, a multi-objective decision-making model based on energy recovery and braking stability is proposed. It has two major objectives: one is to recover as much renewable braking energy as possible and the other is to ensure the safety and stability of vehicle braking. The Pareto optimal solution set of the multi-objective decision-making model is obtained by using the improved MOPSO algorithm, taking into account the constraints of battery SOC, motor external characteristics and ECE regulations. The optimal solution is evaluated comprehensively by TOPSIS evaluation strategy. Finally, the multi-target decision model based on the optimal solution is simulated using Cruise and Simulink. The control strategy established by Simulink is loaded into Cruise software, and the effect of the braking force distribution strategy is verified by simulating NEDC cycle conditions.
引用
收藏
页码:338 / 343
页数:6
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