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基于模型驱动的全钒液流电池嵌入式BMS设计

Design of an Embedded VRFB Battery Management System Based on Model-Based Design

  • 摘要: 针对全钒液流电池荷电状态估算易产生累积误差及管控系统可靠性不足的问题,基于Simulink模型驱动开发方法,设计并实现了一套综合性电池管理系统。硬件方面构建了分布式拓扑,集成数据采集与流体循环泵控制模块;软件架构依托Simulink进行算法建模与部署,设计实现了一种基于旁路开路电压与安时积分融合的SOC闭环估算算法,动态校准积分误差,并设计了多级滞回阶梯热管理策略。系统级测试结果表明,多节点并发通信稳定可靠,CPU实时负载满足要求;所提融合算法在复杂工况下可有效抑制零漂现象,提升SOC估算精度。该系统在提升BMS软件开发效率的同时,保障了液流电池的安全精准运行。

     

    Abstract: To address cumulative errors in state of charge estimation and poor system reliability of vanadium redox flow batteries, a battery management system was designed based on the Simulink model-driven development method. A distributed hardware topology was constructed to integrate data acquisition and fluid pump control modules. Software algorithms were modeled via Simulink. A closed-loop SOC estimation algorithm fusing bypass open circuit voltage and ampere-hour integration was proposed to dynamically calibrate errors. Additionally, multi-stage hysteretic thermal management was designed. System tests indicated stable concurrent communication and qualified CPU real-time load. The proposed algorithm effectively suppresses zero-drift under complex conditions and significantly improves SOC accuracy. This system improves software development efficiency and ensures the safe and precise operation of VRFBs.

     

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