Multi-objective optimization of the control strategy of electric vehicle electro-hydraulic composite braking system with genetic algorithm-Reference-Cited by-同舟云学术

Multi-objective optimization of the control strategy of electric vehicle electro-hydraulic composite braking system with genetic algorithm

Published:2015-03-01 Issue:3 Volume:7 Page:168781401456849
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Fengjiao Zhang¹²,Minxiang Wei¹

Affiliation:

1. College of Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. School of Mechanical & Electrical Engineering, Changzhou Institute of Technology, Changzhou, China

Abstract

Optimization of the control strategy plays an important role in improving the performance of electric vehicles. In order to improve the braking stability and recover the braking energy, a multi-objective genetic algorithm is applied to optimize the key parameters in the control strategy of electric vehicle electro-hydraulic composite braking system. Various limitations are considered in the optimization process, and the optimization results are verified by a software simulation platform of electric vehicle regenerative braking system in typical brake conditions. The results show that optimization objectives achieved a good astringency, and the optimized control strategy can increase the brake energy recovery effectively under the condition of ensuring the braking stability.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814014568491

Reference9 articles.

1. Multi-objective Optimization of Hybrid Electric Vehicle Control Strategy with Genetic Algorithm

2. Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles

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