Matlab/Simulink在电动车用动力电池系统实验教学中的应用
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摘要
随着我校车辆工程专业实验教学的不断发展,由于受到资金、场地、时间等多方面制约,传统实验教学模式与实验教学效果提升需求之间的矛盾不断凸显。因此,基于Matlab/Simulink开发一套为电动汽车课程服务的虚拟实验教学系统很有必要。论文以Thevenin模型为例开发了实验方案设计,并进一步探讨了实验的拓展方案。实验结果表明,Matlab/Simulink软件在电动车用锂离子动力电池系统实验教学中具有较好的应用效果,对于加深学生的理解,培养学生的创新能力有着重要的意义。
With the development of the experimental teaching for vehicle engineering major in our school,the contradiction between traditional experimental teaching mode and the demand of improvement of experimental teaching effect has been more prominent because of the limitation of funds,experimental site,time,etc. Herein,it is necessary to develop a novel experimental teaching system for courses of electric vehicles by using Matlab/Simulink. Taking Thevenin model as an example,an experimental scheme is proposed in details.Furthermore,an expansion experimental scheme has been discussed. The results show that the Matlab/Simulink software has good application effect in experimental teaching of Lithium-ion battery system for electric vehicles. It is of great significance to deepen students ' understanding and cultivate students' innovative ability.
With the development of the experimental teaching for vehicle engineering major in our school,the contradiction between traditional experimental teaching mode and the demand of improvement of experimental teaching effect has been more prominent because of the limitation of funds,experimental site,time,etc. Herein,it is necessary to develop a novel experimental teaching system for courses of electric vehicles by using Matlab/Simulink. Taking Thevenin model as an example,an experimental scheme is proposed in details.Furthermore,an expansion experimental scheme has been discussed. The results show that the Matlab/Simulink software has good application effect in experimental teaching of Lithium-ion battery system for electric vehicles. It is of great significance to deepen students ' understanding and cultivate students' innovative ability.
引文
[1]何洪文.电动汽车原理与构造[M].北京:机械工业出版社,2015.
[2] X. Hu,S. Li and H. Peng. A comparative study of equivalent circuit models for Li-ion batteries[J]. J Power Sources,2012,198.
[3]魏增福,董波,刘新天,等.锂电池动态系统Thevenin模型研究[J].电源技术,2016,2.
[4]刘云龙,王瑞兰,刘丽君,等.基于Matlab仿真的自动控制原理实验教学改革[J].实验室研究与探索,2015,6.
[5]牛天林,樊波,张强,等.Matlab/Simulink仿真在电力电子技术教学中应用[J].实验室研究与探索,2015,2.
[6]蔺智挺.基于虚拟仿真实验的模拟集成电路实验教学[J].实验技术与管理,2016,1.
[7]胡晓松.电动车辆锂离子电池模型辨识、优化与状态估计[D].北京:北京理工大学,2012.
[8] H. He,R. Xiong and J. Fan. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach.[J]. Energies,2011,4.
[9]吴凡,孙建红,葛鹤银,等.基于GA优化IWNN的短时交通流量预测方法[J].实验室研究与探索,2016,5.
[10]熊瑞.插电式混合动力车用复合电源系统仿真研究[D].北京:北京理工大学,2010.
[11]王兆杰,张晓云,余丽丽,等.柔性锂离子电池电极制备实验设计[J].实验技术与管理,2016,10.
[12]马学条,陈龙.基于虚拟仿真技术的数字电路实验教学探索[J].实验技术与管理,2016,10.
[13]张智群,吴正斌,翁荣城,等.基于Simulink的磷酸铁锂动力电池模型仿真研究[J].汽车实用技术,2016.
[14]王志福,容毅楠,李志.锂离子电池Thevenin模型参数确定方法研究[J].电源技术,2018,3.
[15]郭峰,朱建新,张彤,等基于Matlab/Simulink氢镍动力电池功率预估建模与仿真[J].电源技术,2018,5.
[16]蒋超宇,王伟超,杨学平.混合动力汽车磷酸铁锂动力电池建模与SOC计算[J].储能科学与技术,2018,5.
[17]魏克新,陈峭岩.基于自适应无迹卡尔曼滤波算法的锂离子动力电池状态估计[J].中国电机工程学报,2014,3.
[18]孙冬,许爽,李超,等.锂离子电池荷电状态估计方法综述[J].电池,2018,4.
[19]崔鹰飞,陈则王.基于单粒子模型的锂离子电池荷电状态估计[J].机械制造与自动化,2018,4.
[20]丁枭雄,黄若伟.电动汽车锂离子电池荷电状态估计方法研究[J].通信电源技术,2018,3.
[21]刘树林,崔纳新,张承慧.基于AUKF的锂离子电池健康状态估计[J].电力电子技术,2017,11.
[2] X. Hu,S. Li and H. Peng. A comparative study of equivalent circuit models for Li-ion batteries[J]. J Power Sources,2012,198.
[3]魏增福,董波,刘新天,等.锂电池动态系统Thevenin模型研究[J].电源技术,2016,2.
[4]刘云龙,王瑞兰,刘丽君,等.基于Matlab仿真的自动控制原理实验教学改革[J].实验室研究与探索,2015,6.
[5]牛天林,樊波,张强,等.Matlab/Simulink仿真在电力电子技术教学中应用[J].实验室研究与探索,2015,2.
[6]蔺智挺.基于虚拟仿真实验的模拟集成电路实验教学[J].实验技术与管理,2016,1.
[7]胡晓松.电动车辆锂离子电池模型辨识、优化与状态估计[D].北京:北京理工大学,2012.
[8] H. He,R. Xiong and J. Fan. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach.[J]. Energies,2011,4.
[9]吴凡,孙建红,葛鹤银,等.基于GA优化IWNN的短时交通流量预测方法[J].实验室研究与探索,2016,5.
[10]熊瑞.插电式混合动力车用复合电源系统仿真研究[D].北京:北京理工大学,2010.
[11]王兆杰,张晓云,余丽丽,等.柔性锂离子电池电极制备实验设计[J].实验技术与管理,2016,10.
[12]马学条,陈龙.基于虚拟仿真技术的数字电路实验教学探索[J].实验技术与管理,2016,10.
[13]张智群,吴正斌,翁荣城,等.基于Simulink的磷酸铁锂动力电池模型仿真研究[J].汽车实用技术,2016.
[14]王志福,容毅楠,李志.锂离子电池Thevenin模型参数确定方法研究[J].电源技术,2018,3.
[15]郭峰,朱建新,张彤,等基于Matlab/Simulink氢镍动力电池功率预估建模与仿真[J].电源技术,2018,5.
[16]蒋超宇,王伟超,杨学平.混合动力汽车磷酸铁锂动力电池建模与SOC计算[J].储能科学与技术,2018,5.
[17]魏克新,陈峭岩.基于自适应无迹卡尔曼滤波算法的锂离子动力电池状态估计[J].中国电机工程学报,2014,3.
[18]孙冬,许爽,李超,等.锂离子电池荷电状态估计方法综述[J].电池,2018,4.
[19]崔鹰飞,陈则王.基于单粒子模型的锂离子电池荷电状态估计[J].机械制造与自动化,2018,4.
[20]丁枭雄,黄若伟.电动汽车锂离子电池荷电状态估计方法研究[J].通信电源技术,2018,3.
[21]刘树林,崔纳新,张承慧.基于AUKF的锂离子电池健康状态估计[J].电力电子技术,2017,11.