Development of Evaluation and Test System for Regenerative Braking

doi:10.3969/j.issn.1674-0696.2014.06.33

Journal of Chongqing Jiaotong University(Natural Science) ›› 2014, Vol. 33 ›› Issue (6): 155-160.DOI: 10.3969/j.issn.1674-0696.2014.06.33

Previous Articles Next Articles

Development of Evaluation and Test System for Regenerative Braking

Huang Xuan, Zhang Shupei, Wang Guolin, He Changyuan

School of Automobile & Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China

Received:2013-06-11 Revised:2013-12-25 Online:2014-12-15 Published:2015-03-10

再生制动评价测试系统的开发

黄璇，张树培，王国林，何常源

江苏大学汽车与交通工程学院，江苏镇江 212013

作者简介:黄璇（1988—），男，湖北荆州人，硕士，主要从事电动汽车制动能量回收方面的研究。E-mail:huangxuan881209@sina.com。
基金资助:
国家“863”项目(2011AA11A286)

Abstract

Abstract: In order to assess regenerative braking system of the electric vehicle and hybrid electric vehicle, a set of evaluation and test system for regenerative braking was developed. It includes evaluation index and detection system. Regenerative braking system can be evaluated comprehensively by the evaluation index, and detection system was a set of thorough detection platform which includes hardware part and software part. Through real vehicle detection test of regenerative braking, the reliability and effectiveness of the evaluation and test system were verified.

Key words: vehicle engineering, regenerative braking, evaluation, detection

摘要： 为了对电动汽车和混合动力汽车再生制动系统进行评价，开发了一套针对再生制动的评价测试系统，包括评价指标与检测系统。评价指标可对再生制动系统进行全面的评价，检测系统是一套包括硬件部分与软件部分的完善的检测平台。通过再生制动实车检测试验验证了评价测试系统的可靠性及有效性。

关键词: 车辆工程, 再生制动, 评价, 检测

CLC Number:

U463.5

Huang Xuan, Zhang Shupei, Wang Guolin, He Changyuan. Development of Evaluation and Test System for Regenerative Braking[J]. Journal of Chongqing Jiaotong University(Natural Science), 2014, 33(6): 155-160.

黄璇，张树培，王国林，何常源. 再生制动评价测试系统的开发[J]. 重庆交通大学学报（自然科学版）, 2014, 33(6): 155-160.

References

［1］王鹏宇.混合动力轿车再生制动系统研究［D］.长春:吉林大学,2008.
Wang Pengyu.Study on Regenerative Braking System of Hybrid Electric Vehicle［D］.Changchun:Jilin University,2008.
［2］Gao Yinmin,Chen Liping,Ehsani M.Investigation of the effectiveness of regenerative braking for EV and HEV［J］.SAE Technical Paper,1999(1):2910.
［3］Ehsani M,Gao Yinmin,Butler K L.Application of electrically peaking hybrid (ELPH) propulsion system to a full size passenger car with simulated design verification［J］.IEEE Transaction on Vehicular Technology,1999,48(6):1779-1881.
［4］詹迅.轻度混合动力汽车再生制动系统建模与仿真［D］.重庆:重庆大学,2005.
Zhan Xun.The Modeling and Simulation of Regenerative Braking System for Mild Hybrid Electric Vehicle［D］.Chongqing:Chongqing University,2005.
［5］巩养宁,杨海波,杨竞.电动汽车制动能量回收与利用［J］.客车技术与研究,2006(3):28-29.
Gong Yangning,Yang Haibo,Yang Jing.Recovery and utilization of electric vehicles braking energy［J］.Bus Technology and Research,2006(3):28-29.
［6］仇斌,陈全世.电动城市公交车制动能量回收评价方法［J］.机械工程学报,2012,48(16):81-84.
Qiu Bin,Chen Quanshi.Evaluation method of regenerative braking for electric city bus［J］.Journal of Mechanical Engineering,2012,48(16):81-84.
［7］杨乐平,李海涛,杨磊.LabVIEW程序设计与应用［M］.北京:电子工业出版社,2005:10-30.
Yang Leping,Li Haitao,Yang Lei.LabVIEW Design and Application Program［M］.Beijing:Electronic Industry Press,2005:10-30.
［8］李娟.CS5532在扭矩标定检测系统中应用［J］.湖南农机,2011,38(9):56-57.
Li Juan.The application of CS5532 in torque-calibration measurement［J］.Hunan Agricultural Machinery,2011,38(9):56-57.

[1]	ZHANG Ping, WANG Yanlong, CHEN Zhicheng, YAN Jiacheng, WANG Jianfeng. Path Tracking Control of Intelligent Vehicle Based on Adaptive Fuzzy MPC [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 117-126.
[2]	PENG Miaojuan1, CHEN Song1, LI Li1, ZHUANG Kailin2. Improved YOLOv8n Lightweight Highway Asset Detection Model for UAV Inspection [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(3): 1-10.
[3]	XIAO Zhiquan, PANG Guoqiang, CAI Zhanwen, WANG Pei. Application of CNN-LSTM in Predicting CG Height of the Whole Vehicle by the Tilt Table Method [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(3): 120-127.
[4]	CHEN Hua，BAI Jiayu，LYU Yuejing. Intelligent Detection of Asphalt Pavement Wear Based on Terrain Prominence [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(2): 31-38.
[5]	ZHANG Haijun1，WANG Bolong1，ZHOU Zhe1,2，LI Jiaxin1，WU Xiaobo1. Coupled Vibration Characteristics of Switched Reluctance Hub Motor under Complex Road Surface Excitation [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(2): 114-121.
[6]	DENG Tao1,2,3, DENG Jiangchuan4 , RUI Guoqiang4, JIANG Lan4. Molecular-Like Topology Design for Planetary-Row Hybrid Powertrain System [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(2): 122-130.
[7]	CUI Mengmeng, ZHU Yongming. Prediction of Driving Risk Level Based on Extreme Value Theory [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 86-85.
[8]	MA Qinglu1, WU Feifei1, WU Yuechuan1, ZHANG Li1, ZHANG Geng2. Audio-Visual FusionDetection Method of Traffic Volume Based on Cross-Modal Multi-head Attention Mechanism [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 95-94.
[9]	LIU Ping1,2, WANG Shuohan1,2, ZHANG Yikang1,2, ZHOU Zilong1,2. Method for Extracting Motion Information from Vehicle-Mounted Visual Images [J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 106-105.
[10]	LIU Yunfei1, LI Shuang1, MA Jianxiao2. Mobile ViT Network Road Defect Detection Model Integrating Multi-task Learning [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(9): 84-92.
[11]	ZHAO Yuelin，GAO Xiangyu. Ship Signal Lights Detection and Identification Based on Optimized Background Subtraction Method [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 42-49.
[12]	LAN Zhangli1，FAN Liang1，ZHANG Hong2，TANG Ruohan1，XU Yuantong1，HUANG Darong1,3. Lightweight Driving Behavior Detection Network Based on Attitude Assistance [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 75-82.
[13]	YAN Shengyu1，ZHAO Jiaqi2，LIU Yang1，HAO Shijie1，MA Zhenxiang2. Evaluation Method for Operational Safety of Provincial Road Freight Enterprises Based on Entropy Weight-TOPSIS [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 116-122.
[14]	JIANG Yongzhi1,2,3, WANG Dong2, LIU Wenjie2, GONG Rui2, WU Pingbo1. Design of Heavy-Load Suspended Tanker and Structural Optimization of the Bogie Frame [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(7): 1-6.
[15]	TIAN Guofu, ZHU Haochen, CHANG Tiangen, ZHENG Jiaqiang. Obstacle Avoidance Path Planning for Intelligent Vehicles Based on Multi-objective Optimization [J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(7): 7-14.

Development of Evaluation and Test System for Regenerative Braking

再生制动评价测试系统的开发

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics