Optimization of gear shifting strategy for hybrid electric vehicles on the process of braking

被引：2
|
作者：
Peng Jian-xin [1 ,2 ]
Hu Yu-hui [3 ]
Yu Tian-Xiao [3 ]
Mei Cheng [3 ]
机构：
[1] BITIV Intelligent Vehicle Technol CO LTD, Changshu 215513, Jiangsu, Peoples R China
[2] Beihang Univ, Hangzhou Innovat Inst, Hangzhou 310000, Peoples R China
[3] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
来源：
IFAC PAPERSONLINE | 2021年 / 54卷 / 10期
关键词：
optimization; hybrid electric vehicles; braking performance;
D O I：
10.1016/j.ifacol.2021.10.172
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new optimization method for gear shifting on single shaft hybrid electric vehicles is proposed to improve the braking performance. Three parameters (vehicle acceleration, motor torque and weight of vehicle) in objective function are determined to have influence on the process of braking. Optimal shifting velocity is found from the given parameters by Multi-Island Genetic Algorithm (MIGA) and values of objective function are compared to decide whether vehicle shifts or not. In the Chinese typical city cycle, the strategy appears to have less sum of braking pedal aperture on the process of braking and avoid the problem of shifting frequently by fuzzy control. Copyright (C) 2021 The Authors.
引用
收藏
页码：253 / 257
页数：5
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