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汽车安全与节能学报 ›› 2010, Vol. 1 ›› Issue (1): 40-48.DOI: 10.3969/j.issn.1674-8484.2010.01.006

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混合动力客车智能防抱死刹车控制

陈自强,杨林   

  1. 上海交通大学 机械与动力学院 上海  200240
  • 收稿日期:2010-01-26 出版日期:2010-03-19 发布日期:2010-03-19
  • 通讯作者: To whom correspondence should be addressed. E-mail: chenziqiang@sjtu.edu.cn
  • 基金资助:

    国家重点基础研究发展计划(973) No. 2007CB5209707

Intelligent Anti-lock Braking Control of Hybrid Buses

CHEN Ziqiang*, YANG Lin   

  1. School of Mechanical and Power Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2010-01-26 Online:2010-03-19 Published:2010-03-19
  • Contact: To whom correspondence should be addressed. E-mail: chenziqiang@sjtu.edu.cn
  • Supported by:

    Supported by the National Basic Research (1973) Program of China (No. 2007CB209707)

摘要: 基于模糊神经控制(NFC)理论,提出了一种混合动力客车的智能防抱死刹车控制方法。通过模糊神经控制器,有效而合理地分配了集成起动电机(ISG)和刹车片之间的刹车扭矩。实验表明:刹车性能和制动回馈效果均得到改善,有利于混合动力客车的安全与节能。

关键词: color: black, font-family: 宋体, mso-fareast-theme-font: minor-fareast, mso-ansi-language: ZH-CN, mso-bidi-font-family: '方正仿宋简体 Regular', mso-ascii-theme-font: minor-fareast, mso-hansi-theme-font: minor-fareast, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-font-kerning: 0pt">集成起动电机(ISC), 混合动力客车, 模糊逻辑控制, 人工神经网络, 防抱死刹车(ABS)

Abstract: This paper proposes an intelligent anti-lock braking control of hybrid buses through a neuro-fuzzy controller (NFC) by combining the fuzzy logic algorithm and the artificial neural network. The braking torque distribution between the integrating starting generator (ISG) and the friction disc brake is addressed through the proposed NFC. The experimental results show that the braking performance and the braking regeneration can both be optimized through the NFC for vehicle safety and fuel economy.

Key words: color: black, font-family: 'Arial Narrow Regular', mso-fareast-font-family: 宋体, mso-fareast-theme-font: minor-fareast, mso-ansi-language: EN-US, mso-bidi-font-family: 'Arial Narrow Regular', mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-font-kerning: 0pt">integrating starting generator (ISG), hybrid bus, fuzzy logic control, artificial neural network, anti-lock braking, System (ABS)