计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 802-807.doi: 10.11896/jsjkx.220300133

• 交叉&应用 • 上一篇    

基于CAN总线纯电动汽车的整车控制器

陈龙华1, 李洪林2, 杨汉立3, 鲜光梅3, 张艳琪3   

  1. 1 庆铃汽车股份有限公司 重庆 400052
    2 四川省长江华云电子技术有限公司 成都 644000
    3 重庆大学微电子与通信工程学院 重庆 400030
  • 出版日期:2022-06-10 发布日期:2022-06-08
  • 通讯作者: 陈龙华(chclhyx@126.com)
  • 基金资助:
    四川省科技计划(2019ZYZF0094)

Vehicle Controller of Pure Electric Vehicles Based on CAN Bus

CHEN Long-hua1, LI Hong-lin2, YANG Han-li3, XIAN Guang-mei3, ZHANG Yan-qi3   

  1. 1 Qingling Motors Co.,Ltd.,Chongqing 400052,China
    2 Sichuan Changjiang Huayun Electronic Technology Co.,LTD.,Chengdu 644000,China
    3 School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400030,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:CHEN Long-hua,born in 1976,undergraduate,senior engineer.His main research interests include automotive electronics,engine and vehicle calibration,automotive network management and data theft and isolation.
  • Supported by:
    Science and Technology Project of Sichuan Province(2019ZYZF0094).

摘要: 随着人们保护环境、与自然和谐共生的意识的逐渐增强,越来越多的人开始注重环境污染问题,特别是柴油、汽油汽车的尾气排放问题,已经成为各个国家亟需解决的难题。文中从节能、零排放的电动汽车入手,提出基于CAN总线纯电动汽车的整车控制器,并对电动车的充电功能、换电功控制进行了研究。在确定充电、换电工作安全的前提下,整车控制器提前检测车辆是否已准备就绪,控制车辆进行充电、换电,同时整车控制器具有在线升级功能,可以实现车辆的远程升级,进一步为用户提供了方便。

关键词: 电动车充电, 电动车换电, 远程升级, 整车控制器

Abstract: With the gradual enhancement of people's awareness of environmental protection and harmonious coexistence with nature,more and more people begin to pay attention to environmental pollution,especially the exhaust emissions of diesel and gasoline vehicles,which has become an urgent problem to be solved in many countries.Focusing on the energy saving and zero emission of electrical cars,this paper puts forward an pure electric vehicle controller based on CAN bus,and studies the power charging and power changing of electrical vehicles.Under the premise of ensuring the safety of power charging and changing,this vehicle controller tests in advance whether the vehicle is ready to work,then controls the process of power charging and changing of the vehicle.At the same time,the vehicle controller has the online upgrade function,which can realize the remote upgrade of the vehicle,and further provides convenience to users.

Key words: Electric car power changing, Electric car power charging, Remote upgrade, Vehicle controller

中图分类号: 

  • TP29
[1] KUANG X P,WEN T P.Analysis of reasons for Tesla's free disclosure of technology patents[J].China Business and Trade,2015(11):139-140.
[2] SU L,PAN X J.Analysis of byd's investment value[J].Journal of Minxi Vocational and Technical College,2018,20(1):30-36.
[3] WU R L.Analysis on Charging Mode of Electric Vehicle[J].Automobile Practical Technology,2017(17):82-83.
[4] HUSSEIN A A.Experimental modeling and analysis of lithiumion battery temperature dependence[C]//Applied Power Electronics Conference and Exposition(APEC).Charlotte,NC,IEEE,2015:1084-1088.
[5] LEWANDOWSKI M,ORCZYK T,PORWIK P.Dedicated AVR bootloader for performance improvement of prototyping process[C]//Mixed Design of Integrated Circuits and Systems,2017 Mixdes-International Conference.IEEE,2017:553-557.
[6] LIU Y M,LIU G K,HU Y,et al.BootLoader program debugging method and system based on HCS12 microcontroller:CN107153613A[P].2017.
[7] ISO.14229:2006,Road vehicles-Unified diagnostic services(UDS)-Specification and requirements [S].Switzerland:ISO,2006.
[1] 童泽平, 吴应强, 任亮, 李巍.
SP-AS/RS基于新型出入口结构的行程时间分析
Travel Time Analysis of SP-AS/RS with New Configuration for I/O Point
计算机科学, 2019, 46(4): 315-320. https://doi.org/10.11896/j.issn.1002-137X.2019.04.049
[2] 姚敏.
求解柔性资源受限项目调度问题的多种群遗传算法
Multi-population Genetic Algorithm for Multi-skill Resource-constrained ProJect Scheduling Problem
计算机科学, 2020, 47(6A): 124-129. https://doi.org/10.11896/JsJkx.190900123
[3] 陈晋音, 成凯回, 郑海斌.
低信噪比下基于深度学习的调制模式识别方法
Deep Learning Based Modulation Recognition Method in Low SNR
计算机科学, 2020, 47(6A): 283-288. https://doi.org/10.11896/JsJkx.190800072
[4] 陈晋音, 蒋焘, 郑海斌.
基于信噪比分级的信号调制类型识别
Radio Modulation Recognition Based on Signal-noise Ratio Classification
计算机科学, 2020, 47(6A): 310-317. https://doi.org/10.11896/JsJkx.190800073
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!