Study on Shift Schedule of 2DCT for Pure Electric Vehicle Based on NSGA-Ⅱ Algorithm and Fuzzy Control

被引：0
|
作者：
Yin X. [1 ]
Chen Y. [1 ]
Dai Q. [1 ]
Liu H. [1 ]
Tian N. [2 ]
He B. [1 ]
机构：
[1] Hebei University of Technology, Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Tianjin
[2] CNC Driveline Technology Co. ，Ltd., Zhuhai
来源：
Qiche Gongcheng/Automotive Engineering | 2022年 / 44卷 / 10期
关键词：
fuzzy control; NSGA-; Ⅱ; algorithm; pure electric vehicle; shift schedule; two gear dry dual clutch transmission;
D O I：
10.19562/j.chinasae.qcgc.2022.10.012
中图分类号：
学科分类号：
摘要：
［Abstract］ Shift schedule is a key factor affecting the economy and power performance of vehicle.For the in⁃ dependently developed two gear dry dual clutch transmission（2DCT）of pure electric vehicle，taking the shifting speed under different pedal opening as the optimization variable，the Pareto front of the shifting speed is obtained by NSGA-Ⅱ algorithm，and the shift schedule considering both economy and power performance of pedal opening and speed is obtained by linear weighting method. A three-parameter fuzzy controller is constructed by introducing in ac⁃ celeration to dynamically adjust the shifting speed，and the comprehensive shifting schedule is obtained. The results show that the comprehensive shift schedule can take into account the economy and power performance of the vehicle simultaneously，and reduce the shift frequency greatly compared with the economic shift schedule. © 2022 SAE-China. All rights reserved.
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页码：1571 / 1580
页数：9
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