|本期目录/Table of Contents|

[1]许冀阳,许世维.电动客车并联制动控制策略研究[J].工业仪表与自动化装置,2019,(06):57-61.[doi:1000-0682(2019)06-0000-00]
 XU Jiyang,XU Shiwei.Study on the parallel braking control strategy of electric commercial vehicle[J].Industrial Instrumentation & Automation,2019,(06):57-61.[doi:1000-0682(2019)06-0000-00]
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电动客车并联制动控制策略研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2019年06期
页码:
57-61
栏目:
出版日期:
2019-12-15

文章信息/Info

Title:
Study on the parallel braking control strategy of electric commercial vehicle
作者:
许冀阳1许世维2
1.陕西工业职业技术学院 汽车工程学院,陕西 咸阳 712000;
2.西安建筑科技大学 机电工程学院,西安710055
Author(s):
XU Jiyang1XU Shiwei2
1.School of Automotive Engineering, Shaanxi Polytechnic Institute, Shaanxi Xianyan 712000,China;
2. School of Mechanical and Electrical Engineering,Xi’an University of Architecture and Technology, Xi’an 710055, China
关键词:
汽车工程电动客车并联制动控制策略制动能量回收
Keywords:
automotive engineeringelectric commercial vehicleparallel braking control strategybraking energy recovery
分类号:
U469.72
DOI:
1000-0682(2019)06-0000-00
文献标志码:
A
摘要:
针对电动客车再生制动问题,结合制动约束条件在Cruise与Matlab联合仿真环境下建立整车并联制动控制策略模型,并通过UDC循环工况验证并联制动控制策略的性能。通过仿真验证可知,电动客车并联制动控制策略能够优化制动力分配,在保证最佳制动性能的前提下最大程度地提高了制动能量回收率,在提高制动性能的同时大大提升了整车经济性。
Abstract:
For the problems of electric vehicle regenerative braking,a parallel braking control strategy model at Cruise and Matlab co-simulation environment was established under the braking constraints.Then using UDC driving cycle to verify the performance of brake control strategy.The simulation results show that the parallel braking control strategy can optimize the brake force distribution,and maximize the braking energy recovery under ensuring the best braking performance,so the braking performance is improved and meanwhile the vehicle economy is largely enhanced.

参考文献/References:

[1] Hannan M A, Azidin F A, Mohamed A. Hybrid electric vehicles and their challenges: A review[J].Renewable and Sustainable Energy Reviews,2014, 29(01):135-150.

[2] 龚贤武,张丽君,马建,等.基于制动稳定性要求的电动汽车制动力分配[J].长安大学学报(自然科学版),2014, 34(01):103-108.
[3] 赵国柱.电动汽车再生制动稳定性研究[D].南京:南京航空航天大学,2006.
[4] 许世维.纯电动客车动力系统参数优化与联合仿真[D].西安:长安大学,2013.
[5] Cikanek S R, Bailey K E. Regenerative braking system for a hybrid electric vehicles[C]//Proceedings of the American Control Conference,2002: 3129-3134.
[6] 余志生.汽车理论[M].北京:清华大学出版社, 2009.
[7] 张欣,刘溧,于海生.混合动力电动汽车制动系统回馈特性仿真[J].中国公路学报,2006, 19(03):111-116.
[8] Nian X,Peng F,Zhang H.Regenerative Braking System of Electric Vehicle Driven by Brushless DC Motor[J].IEEE Transactions on Industrial Electronics,2014,61(10):5798- 5808.
[9] 董冰.基于锂离子动力电池的纯电动汽车能量管理系统控制策略与优化[D].长春:吉林大学,2014.

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备注/Memo

备注/Memo:
收稿日期:2019-05-15
基金项目:咸阳市科技局工业公关项目( 2018K02-12)
作者简介:许冀阳(1986),男,讲师,硕士研究生,研究方向为电动汽车及汽车电子技术。
更新日期/Last Update: 1900-01-01