吉林大学学报(信息科学版) ›› 2020, Vol. 38 ›› Issue (6): 680-686.

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基于树莓派的房车电池管理系统研制

岳贤杰1, 李成伟1, 沈 倩1, 张子超2   

  1. 1. 哈尔滨工业大学 仪器科学与工程学院, 哈尔滨 150000;2. 廊坊市中燃宏胜能源科技有限公司 工程技术部, 河北 廊坊 065000
  • 收稿日期:2020-05-22 出版日期:2020-11-24 发布日期:2020-12-14
  • 通讯作者: 李成伟(1963— ), 男, 哈尔滨人, 哈尔滨工业大学教授, 博士生导师, 主要从事智能制造过程检测与控制和生物医学工程等研究, (Tel)86-13694505419(E-mail)lcw@ hit. edu. cn
  • 作者简介:岳贤杰(1995— ), 男, 浙江嘉兴人, 哈尔滨工业大学硕士研究生, 主要从事车载蓄电池及用电系统研究, ( Tel) 86-15754314314(E-mail)1210789774@ qq. com
  • 基金资助:
    国家自然科学基金资助项目(61705095)

RV Battery Management System Based on RPi

YUE Xianjie 1 , LI Chengwei 1 , SHEN Qian 1 , ZHANG Zichao 2   

  1. 1. School of Instrumentation Science and Engineering, Harbin Institute of Technology, Haerbin 150000, China;2. Engineering and Technology Department, Langfang Zhongran Hongsheng Energy Technology Company Limited, Langfang 065000, China
  • Received:2020-05-22 Online:2020-11-24 Published:2020-12-14

摘要: 为解决目前房车使用中存在的电池、 用电器的管理问题, 设计了一种以 Raspberry Pi 3B+为主控制器的房车电源管理系统, 该系统包括车载蓄电池监测模块和用电器监测模块。 电池监测模块利用电池专用监测芯片DS2438, 对电池组温度、 电压等车载蓄电池信息进行检测并统一管理, 完成单体蓄电池状态显示和故障报警提示; 用电器监测模块利用 RN8209 芯片检测房车用电器的电功率并及时通过主控制器对电器进行智能化管理。通过测试表明, 系统能准确测定电池和用电器的相关信息, 具有一定的实用性。 同时针对传统的充放电状态(SOC: State Of Charge)预测困难的问题, 提出了一种修正安时积分法,充分考虑了电池在实际使用中存在容量差的问题, 经 Matlab 仿真结果表明该方法有较高的估算精度, 可用于 SOC 估算策略。

关键词: 房车电池, 电池监测, 充放电状态, 电器功率

Abstract: In order to resovel the management problems of batteries and electrical appliances existing in the use of RV(Recreational Vehicle) . A kind of power management system of RV with raspberry PI 3B + as the main controller is designed. We design two parts of vehicle battery monitoring module and electrical appliance monitoring module. The battery monitoring module uses the battery-specific monitoring chip DS2438 to detect and manage the battery temperature, voltage and other on-board battery information, and to complete the status display and fault alarm prompt of single battery. The electrical monitoring module uses RN8209 chip to detect the electrical power of the electric appliance for the RV and to carry out intelligent management of the electric appliance through the main controller in time. The test results show that the system can accurately measure the relevant information of batteries and electrical appliances, and has certain practicability. And in view of the difficulty of traditional SOC ( State Of Charge) prediction, a modified AH
integration method is proposed, which fully considers the problem of battery capacity difference in actual use. The Matlab simulation results show that the method has high estimation precision and can be used for SOC estimation strategy.

Key words: recreational vehicle (RV) battery, battery monitoring, state of charge (SOC), electrical power

中图分类号: 

  • TM912