基于树莓派的房车电池管理系统研制

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。

RV Battery Management System Based on RPi

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.