期刊文献+

基于CANoe-MATLAB的电动汽车电子差速仿真 被引量:2

Electric automobile electronic differential simulation based on CANoe-MATLAB
下载PDF
导出
摘要 针对后轮独立驱动轻型低速电动汽车协调控制问题,以阿克曼转向为基础建立了电子差速控制模型。CANoe-MATLAB接口软件可以整合CANoe和MATLAB的优势,在SIMULINK中将所建立的差速模型用对应的CAN模块进行封装,并自动生成执行代码。同时,在CANoe中建立电子差速与电机通信的CAN网络,将生成的DLL文件加载到CANoe电子差速节点中进行仿真验证。结果表明,该电子差速控制模型能够完成轻型低速电动汽车的差速功能。同时,验证了整个控制网络的有效性、实时性和准确性。该方法具有一定的扩展性,能够在开发实际控制器之前验证控制算法的正确性。 In order to solve the coordinated control of lightweight and low-speed EV(electric vehicle) drived by the independent dual-rear-wheel, a model of electronic differential was established on the basis of the Ackerman steering principle. The CANoe-MATLAB interface software can combine advantages of CANoe and MATLAB. The inputs and outputs of the model of electronic differential were replaced with the corresponding block in the Vector CANoe library. And the model was then compiled into a file with a.dll suffix in the SIMULINK. In the meantime, a controller area network was established in CANoe, including an electronic differential node and two motor controller nodes. Then the simulation was conducted in the circumstance of CANoe with the file ending in. dll. The result showed that this model of electronic differential can accomplish the functions and demands, and that the simulation is feasible, which can validate the control algorithm before designing the controller.
出处 《自动化与仪器仪表》 2015年第2期189-191,共3页 Automation & Instrumentation
基金 国家"863计划"资助项目(2012AA111106-02)
关键词 CANOE MATLAB 电子差速 仿真 CAN总线 CANoe MATLAB electronic differential simulation CAN bus
  • 相关文献

参考文献7

二级参考文献30

  • 1靳立强,王庆年,周雪虎,宋传学.电动轮驱动汽车电子差速控制策略及仿真[J].吉林大学学报(工学版),2008,38(S1):1-6. 被引量:32
  • 2魏雄武.CAN与汽车网络技术[J].上海汽车,2005(7):35-38. 被引量:10
  • 3葛英辉,倪光正.新型电动车电子差速控制策略研究[J].浙江大学学报(工学版),2005,39(12):1973-1978. 被引量:57
  • 4Chong U S, Namgoong E, Sul S K. Torque steering control of 4-wheel drive electric vehicle[C]//Power Electronics in Transportation. [S. l.]: IEEE, 1996: 159 - 164. 被引量:1
  • 5Thanh T D C, Ahn K K. Nonlinear PID control to improve the control performance of axes pneumatic artifi cial muscle manipulator using neural network [J]. Mechatronies, 2006,16 : 577 - 587. 被引量:1
  • 6陈家瑞.汽车构造[M].北京:人民交通出版社,2008:146-150. 被引量:5
  • 7刘金琨.先进PID控制MATLAB仿真[M].北京:电子工业出版社.2011. 被引量:96
  • 8HORI Y, TOYODA Y, TSURUOKA Y. Traction control of electric vehicle: Basic experimental results using the test EV,“UOT”[J]. IEEE Transactions on Industrial Application. 1998,34 : 1131 - 1138. 被引量:1
  • 9PARK J W, KO0 Dae-Hyun, KIM Jong-Moo, et al.High performance drive unit for 2-motor driven electric vehicle [A]. Proceedings of the Fourteenth Applied Power Electronics Conference and Exposition [C]. Dallas:IEEE, 1999,1:443 - 449. 被引量:1
  • 10LEE Ju-Sang, RYOO Y J, LIM Y C, et al. A neural network model of electric differential system for electric vehicle [A]. Proceedings of the 26th IEEE International Conference on Industrial Electronics, Control and Instrumentation [C]. Nagoya: IEEE, 2000,1:83-88. 被引量:1

共引文献115

同被引文献9

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部