基于物联网的电动汽车电池管理智能解决方案  

Intelligent Solution for Battery Management of Electric Vehicles Based on Internet of Things

作　　者：费维科 刘振华 Fei Weike;Liu Zhenhua(School of Electronic Information Engineering,Xi'an Vocational University of Automobile,Xi'an 710600,China)

机构地区：[1]西安汽车职业大学电子信息工程学院,西安710600

出　　处：《单片机与嵌入式系统应用》2023年第6期70-73,共4页Microcontrollers & Embedded Systems

基　　金：中华职业教育社《5G与人工智能、工业互联网、智能人才培养体系研究与实践》子课题《智能家居及物联网人才技能培养体系研究与实践》(ZJS20200835)。

摘　　要：提出了一种基于感知层、网络层和应用层三层架构的物联网电动汽车锂电池组高精度管理智能解决方案。该方案采用BMS智能物联系统和Thevenin电池智慧管理模型,实现对单体电池组电压、电流实时采样和电压均衡控制,同时通过ESAM电池模块、手持终端PSAM模块测量电池组充放电电流,实现对BMS电池信息采集与处理、CAN电池信息传递与汇总及EVT电池信息识别与监测。通过搭建MATLAB/Simulink仿真实验平台,模拟测试24串磷酸铁锂电池组运行工况,电池荷电状态估算值误差精度在±5%内,从而验证了本文解决方案的可靠性与电池模型、估测算法的精准性。An intelligent solution for high-precision management of lithium-ion battery pack in electric vehicles based on the three-layer architecture of perception layer,network layer and application layer is proposed.The scheme adopts BMS intelligent Internet of Things system and Thevenin battery intelligent management model to realize real-time sampling and voltage balance control of single battery pack voltage and current.At the same time,the charging and discharging current of battery pack is measured through ESAM battery module and handheld terminal PSAM module to realize the collection and processing of BMS battery information,the transmission and summary of CAN battery information,and the identification and monitoring of EVT battery information.By building a MATLAB/Simulink simulation experiment platform,simulating the operating conditions of 24 series of lithium iron phosphate battery packs,the error of the estimated battery state of charge is within ±5%,which confirms the reliability of the intelligent solution for battery management of electric vehicles based on the Internet of Things and the accuracy of the battery model and estimation algorithm.

关 键 词：IOT BMS智能物联 Thevenin电池模型 隔离森林算法 

分 类 号：U462[机械工程—车辆工程]