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Verification oriented development of a scalable battery management system for lithium-ion batteries

机译：面向验证的锂离子电池可扩展电池管理系统开发

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This paper describes the model-based development and validation of a flexible scalable battery management system (BMS) for lithium-ion batteries (LiFePO) using a verification-oriented development methodology. The BMS consists of a central control unit and decentral cell modules. It measures voltages, currents and temperatures to ensure safe and slow aging operating states. Furthermore, appropriate algorithms estimate the state of charge and predict the maximum battery power in a defined prediction horizon Δt, based on the measurement data. The entire capacity of the production-related slightly differing battery cells can be optimally used by using passive or active load balancing methods which equalize the cell charging levels. The BMS also has a CAN interface for integration into a vehicle ECU network. The development of an Extended Kalman Filter (EKF) as a state of charge (SOC) estimator will be shown as an example for the model-based design process.
机译：本文介绍了使用面向验证的开发方法，针对锂离子电池（LiFePO）的灵活可扩展电池管理系统（BMS）的基于模型的开发和验证。 BMS由中央控制单元和分散单元模块组成。它测量电压，电流和温度，以确保安全且缓慢的老化运行状态。此外，适当的算法根据测量数据估计充电状态并在定义的预测范围Δt中预测最大电池电量。与生产相关的略有不同的电池单元的全部容量可以通过使用使电池单元充电水平相等的无源或有源负载平衡方法来最佳地使用。 BMS还具有用于集成到车辆ECU网络中的CAN接口。扩展卡尔曼滤波器（EKF）作为荷电状态（SOC）估计器的开发将作为基于模型的设计过程的示例进行展示。

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