基于最佳制动效果的并联式混合动力汽车再生制动控制策略

中国机械工程 ›› 2015, Vol. 26 ›› Issue (15): 2118-2124.

基于最佳制动效果的并联式混合动力汽车再生制动控制策略

高爱云1;邓效忠1,2;张明柱2;付主木2

1.西北工业大学，西安，710072
2.河南科技大学，洛阳，471023

出版日期:2015-08-10 发布日期:2015-08-04
基金资助:
国家自然科学基金资助项目（61473115,51375145）；中国博士后科学基金资助项目（2013T60670）；河南省科技创新人才杰出青年计划资助项目（144100510004）；河南省高校科技创新人才支持计划资助项目（13HASTIT038）

Regenerative Braking Control Strategy for PHEV Based on Optimal Braking Effect

Gao Aiyun1;Deng Xiaozhong1,2;Zhang Mingzhu2;Fu Zhumu2

1.Northwestern Polytechnical University,Xi'an,710072
2.Henan University of Science and Technology,Luoyang,Henan,471023

Online:2015-08-10 Published:2015-08-04
Supported by:
National Natural Science Foundation of China（No. 61473115,51375145）; Supported by China Postdoctoral Science Foundation（No. 2013T60670）

摘要/Abstract

摘要：

在遵循制动力分配原则的基础上，提出了基于最佳制动效果和模糊控制的再生制动控制策略，使机械制动和再生制动可以很好地协同工作，实现前后轮制动力合理分配。设计了以制动强度和蓄电池荷电状态为输入变量，以期望再生制动力为输出变量的模糊控制器。利用仿真软件ADVISOR，对所设计的控制策略进行了部件性能、制动能量回收、制动感觉三方面仿真分析。同时，为验证ADVISOR仿真结果的有效性，搭建了硬件在环仿真实验平台。结果表明，所设计的控制策略在保证汽车制动稳定性的前提下，能够使驾驶员获得满意的制动感觉，同时有效提高了汽车能量利用率，最终达到了最佳制动效果。

关键词: 并联式混合动力汽车, 再生制动, 模糊控制策略, 制动效果

Abstract:

Based on the principles of the braking force distribution, a regenerative braking control strategy was proposed on the basis of the optimal braking effect and fuzzy control, where mechanical braking could cooperate with regenerative braking and front and rear wheel braking force were distributed reasonably. Taking the braking strength and the state of charge of batteries as inputs, and regarding the expected regenerative braking force as an output, a fuzzy controller was designed. The control strategy designed was simulated from parts performance, braking energy recovery and braking sense compared with the default control strategy in ADVISOR. At the same time, the hardware-in-the-loop simulation was developed to prove the simulation results in ADVISOR effective. The results show that the control strategy presented can assure the driver of satisfactory braking sense based on the braking stability, and improve energy efficiency at the same time and at last achieve optimal braking effect．

Key words: parallel hybrid electric vehicle(PHEV), regenerative braking, fuzzy control strategy, braking effect

中图分类号:

U469. 7

高爱云, 邓效忠, 张明柱, 付主木 . 基于最佳制动效果的并联式混合动力汽车再生制动控制策略[J]. 中国机械工程, 2015, 26(15): 2118-2124.

Gao Aiyun, Deng Xiaozhong, Zhang Mingzhu, Fu Zhumu. Regenerative Braking Control Strategy for PHEV Based on Optimal Braking Effect[J]. China Mechanical Engineering, 2015, 26(15): 2118-2124.

参考文献

[1]Ramakrishnan R, Hiremath S S, Singaperumal M. Theoretical Investigations on the Effect of System Parameters in Series Hydraulic Hybrid System with Hydrostatic Regenerative Braking[J]. Journal of Mechanical Science and Technology, 2012, 26(5): 1321-1331.
[2]Ko J W, Ko S Y, Kim I S, et al. Co-operative Control for Regenerative Braking and Friction Braking to Increase Energy Recovery without Wheellock[J]. International Journal of Automotive Technology, 2014, 15(2): 253-262.
[3]李玉芳, 吴炎花. 电-液复合制动电动汽车制动感觉一致性及实现方法[J]. 中国机械工程, 2012, 23(4): 488-492.
Li Yufang, Wu Yanhua. Brake Feel Consistency of Electric Vehicles with Electro-hydraulic Braking System and Realizing Method [J]. China Mechanical Engineering, 2012, 23(4): 488-492.
[4]Ki Y, Lee K, Cheon J, et al. Design and Implementation of a New Clamping Force Estimator in Electro-mechanical Brake Systems[J]. International Journal of Automotive Technology, 2013, 14(5): 739-745.
[5]He Rong, Zheng Hongyu, Zong Changfu. Study on Braking Force Distribution Algorithm for Hybrid Electric Bus Based on EBS[J].SAE Paper, 2013-01-0411.
[6]Bao R, Stobart R. Study on Optimization of Regenerative Braking Control Strategy in Heavy-Duty Diesel Engine City Bus Using Pneumatic Hybrid Technology[J].SAE Paper, 2014-01-1807.
[7]杨亚娟, 赵韩, 朱茂飞. 电动汽车最大能量回收再生制动控制策略的研究[J]. 汽车工程, 2013, 35(2): 105-110.
Yang Yajuan, Zhao Han, Zhu Maofei. A Study on the Control Strategy for Maximum Energy Recovery by Regenerative Braking in Electric Vehicles [J]. Automotive Engineering, 2013, 35(2): 105-110.
[8]余志生. 汽车理论[M]. 5版. 北京: 机械工业出版社, 2009.
[9]刘辉, 王伟达, 何娇,等. 基于模糊控制的混合动力电动车再生制动系统的建模与仿真[J]. 汽车工程, 2012, 34(1): 51-56.
Liu Hui, Wang Weida, He Jiao, et al. Modeling and Simulation of the Regenerative Braking System in a HEV Based on Fuzzy Control[J]. Automotive Engineering, 2012, 34(1): 51-56.
[10]李顶根, 张绿原, 何保华. 基于滑移率的汽车电子机械制动系统的模糊控制[J]. 机械工程学报, 2012, 48(20): 121-126.
Li Dinggen, Zhang Lüyuan, He Baohua. Fuzzy Control Based on Vehicle Slip-ratio for Electro-mechanical Braking Systems [J]. Journal of Mechanical Engineering, 2012, 48(20): 121-126.