分布式电池管理系统CAN总线通信仿真试验研究
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摘要
电池管理系统在新能源纯电动汽车中扮演着非常重要的角色,分布式动力电池管理系统是一种多模块控制的集成系统,各个控制模块之间CAN总线通信存在复杂性和迟滞性,针对这一问题,采用CANoe/MATLAB联合仿真的方法对其进行试验。其中,在MATLAB/Simulink仿真建模环境下建立了信号采集、SOC估算和故障诊断的多模块通信模型,同时在CANoe总线仿真平台建立了分布式电池管理系统的CAN网络架构,验证了多模块之间通信的实时性和准确性。结果表明,CANoe/MATLAB联合仿真的方法对分布式电池管理系统的通信策略开发提供了便捷。
The battery management system plays a very important role in pure electric vehicles for new energy vehicle.The distributed power battery management system is an integrated system with multi-module control.The complexity and hysteresis of CAN bus communication between each control module is aimed at this problem.It was tested by CANoe/MATLAB joint simulation method.Among them,the multi-module communication model of signal acquisition,SOC estimation and fault diagnosis is established in the MATLAB/Simulink simulation modeling environment.At the same time,the CAN network architecture of the distributed battery management system is established on the CANoe bus simulation platform,and the multi-module is verified.The real-time and accuracy of communication.The results show that the CANoe/MATLAB joint simulation method provides a convenient way to develop the communication strategy of the distributed battery management system.
The battery management system plays a very important role in pure electric vehicles for new energy vehicle.The distributed power battery management system is an integrated system with multi-module control.The complexity and hysteresis of CAN bus communication between each control module is aimed at this problem.It was tested by CANoe/MATLAB joint simulation method.Among them,the multi-module communication model of signal acquisition,SOC estimation and fault diagnosis is established in the MATLAB/Simulink simulation modeling environment.At the same time,the CAN network architecture of the distributed battery management system is established on the CANoe bus simulation platform,and the multi-module is verified.The real-time and accuracy of communication.The results show that the CANoe/MATLAB joint simulation method provides a convenient way to develop the communication strategy of the distributed battery management system.
引文
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[2]何军.动力锂电池组管理系统SOC估算研究[D].哈尔滨:哈尔滨工业大学,2015.
[3]闫在春,程夕明,南金瑞,等.燃料电池客车CAN通信协议仿真[J].系统仿真学报,2006,18(9):2381-2455.
[4]张传伟,李林阳.电动汽车主从分布式电池管理系统设计[J].汽车技术,2017(5):45-50.
[5]陶银鹏.纯电动汽车分布式电池管理系统的设计与实现[J].汽车技术,2013(11):59-62.
[6]于月森,钱振华,彭利明,等.CAN总线波特率设置方法及误差分析[J].工矿自动化,2009,35(6):52-55.
[7]吴振军,王丽芳.汽车智能在线绝缘监测装置研究[J].低压电器,2009(5):20-22.
[8]HURIA T,CERAOLO M,GAZZARRI J,et al.High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells[C].IEEE International Electric Vehicle Conference,2012.
[9]张利,张庆,常成,等.用于电动汽车SOC估计的等效电路模型研究[J].电子测量与仪器学报,2014,28(10):1161-1168.
[10]杜涛,李爱魁,马军,等.动力电池预估方法研究进展[J].电源技术,2015(4):844-845.
[11]WANG H H,ZHANG H P.SOC estimation and simulation of electric vehicle lead-acid storage battery with Kalman filtering method[C].ICEMI,2013.
[12]吴友宇,尹叶丹.基于CAN总线的分布式电池管理系统[J].汽车工程,2004,26(5):532-535.
[13]李顶根,曹晶,张杰.基于CANoe-MATLAB的车辆CAN总线的联合仿真[J].汽车科技.2009,11(6):57-61.
[14]牛跃听,周立功,方丹.CAN总线嵌入式开发-从入门到实践[M].北京:北京航天航空大学出版社,2011.
[15]张建国,雷雨龙,刘洪波,等.CANoe-MATLAB联合仿真在DCT总线控制中的应用[J].汽车技术,2010(9):9-12.