Multi-objective optimization of gearshift trajectory planning for multi-speed electric vehicles-Reference-Cited by-同舟云学术

Multi-objective optimization of gearshift trajectory planning for multi-speed electric vehicles

Published:2021-04-06 Issue: Volume: Page:1-24
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhao Kegang¹,Li Ziqi¹,Chen Yuzhong²,Liu Yanwei²

Affiliation:

1. National Local Engineering Laboratory of Automobile Parts Technology, South China University of Technology, Guangzhou, People’s Republic of China

2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, People’s Republic of China

Funder

Natural Science Foundation of Guangdong Province

Key-Area Research and Development Program of Guangdong Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1902513

Reference39 articles.

1. Fast and smooth clutch engagement control for dual-clutch transmissions

2. Optimization of Shift Control Trajectories for Step Gear Automatic Transmissions

3. Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle

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1. Working mode division and shift schedule extraction of a parallel hybrid power system;Journal of Physics: Conference Series;2024-06-01

2. Real-Time Optimization of Gear Shift Trajectories Using Quadratic Programming for Electric Vehicles With Dual Clutch Transmission;IEEE Transactions on Vehicular Technology;2023-07

3. Multi-Speed Transmission Optimization of Electric Vehicles Based on Shifting Pattern Considering Dynamic Inertia Efficiency;IEEE Access;2023

4. Gearshift Control in Engagement Process of Dual-Motor Coaxial Propulsion System for Electric Bus;IEEE Access;2022

5. A non-cooperative game approach to the robust control design for a class of fuzzy dynamical systems;ISA Transactions;2021-06