基于CAN总线的新能源汽车运行参数监测与故障报警系统OA
Operating parameter monitoring and fault alarm system for new energy vehicles based on CAN bus
针对新能源汽车在运行过程中存在的参数采集不全面、故障诊断滞后以及报警响应效率不足等问题,本文通过在动力电池、驱动电机、整车控制器等关键部位布设传感器,利用CAN总线实现电压、电流、温度、转速、SOC等多源数据的实时采集与传输,设计并实现一种基于CAN总线的运行参数监测与故障报警系统,首先通过主控单元对采集数据进行解析与融合,并构建多级阈值与模型驱动相结合的故障诊断与报警机制,实现对过压、欠压、过流、过温等典型故障的快速识别与分级响应,然后集成无线通信模块,将运行参数与故障信息远程传输至上位机或移动终端,实现远程监控与维护.实车运行结果表明,CAN总线在500 kbps速率下运行,连续采集2 h内未出现报文丢失,针对过压、欠压、过流、过温等4类典型故障开展200组模拟试验,故障识别准确率达到97.8%,其中电池组过温报警的平均识别时间为1.2 s,系统从故障触发到报警信号输出的平均延迟为0.85 s,相比传统基于单片机的监测方案缩短36%,表明该系统在运行参数监测和故障预警方面具备显著优势,能够有效提升新能源汽车的运行安全性与可靠性.
In order to address the problems of incomplete parameter acquisition,delayed fault diagnosis,and insufficient alarm response efficiency during the operation of new energy vehicles(NEVs),this paper designs and implements an operating parameter monitoring and fault alarm system based on the Controller Area Network(CAN)bus.Sensors are deployed at key components such as the power battery,drive motor,and vehicle control unit,enabling real-time acqui-sition and transmission of multi-source data including voltage,current,temperature,rotational speed,and state of charge(SOC)via the CAN bus.The master control unit parses and fuses the collected data,and a fault diagnosis and alarm mechanism combining multi-level thresholds with model-driven methods is constructed to achieve rapid identifi-cation and graded response for typical faults such as overvoltage,undervoltage,overcurrent,and overheating.Further-more,a wireless communication module is integrated to transmit operating parameters and fault information to an upper computer or mobile terminal for remote monitoring and maintenance.Real vehicle test results show that the CAN bus,operating at 500 kbps,achieved continuous data collection for 2 hours without frame loss.In 200 groups of simulated tests on the four types of typical faults,the fault recognition accuracy reached 97.8%,with an average recognition time of 1.2 s for battery overheating alarms.The average delay from fault occurrence to alarm signal output was 0.85 s,re-presenting a 36%reduction compared with traditional microcontroller-based monitoring schemes.These results demon-strate that the proposed system has significant advantages in operating parameter monitoring and fault warning,and can effectively improve the operational safety and reliability of NEVs.
贺仕伟;胡月刚;杨玉好
雅安职业技术学院,四川雅安 625000四川省胡月刚数控车工技能大师工作室,四川雅安 625000雅安职业技术学院,四川雅安 625000
交通工程
新能源汽车CAN总线运行参数监测故障诊断报警系统
New energy vehiclesCAN busOperating parameter monitoringFault diagnosisAlarm system
《农机使用与维修》 2026 (1)
99-106,8
雅安职业技术学院2024年度校级科研项目(yzysk202408)
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