Safety Ensurence Research on the Regenerative Braking System of Electric Vehicle

被引：3

作者：

Zhang, Zijian ^{[1
]}

Dong, Yangyang ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, 29 Yudao St, Nanjing 210016, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2019年 / 33卷 / 04期

基金：

美国国家科学基金会;

关键词：

Regenerative braking; braking safety; battery safety; fuzzy logic controller;

D O I：

10.1142/S0218001419590146

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The safety problem is the primary factor that should be viewed in the regenerative braking system design of vehicles. To ensure braking safety and battery safety of the electrical vehicles (EVs) a regenerative braking system contain us two fuzzy logic controllers is designed in the paper. In the system, one controller includes slip coefficient, vehicle speed and the driver's brake requirement to ensure braking security and the other takes battery State of Charge (SOC) and temperature as inputs to assure battery safety. Then, two proportional coefficients K-r and K-b satisfying the safety needs are introduced into the braking system. At last, the simulation model is established in the simulation software-ADVISOR (ADvanced VehIcle SimulatOR). Through simulation, the results verify that more energy can be regenerated from braking under the conditions of ensuring braking and batteries safety.

引用

页数：18

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