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2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)最新文献

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Model-based design of a scalable battery management system by using a low-cost Rapid Control Prototyping System 基于模型的低成本快速控制原型系统的可扩展电池管理系统设计
Sven Jacobitz, Soeren Scherler, X. Liu-Henke
This paper presents the model-based design of a flexible scalable battery management system (BMS), consisting of hardware and software functions, for lithium-ion batteries by using a low-cost Rapid Control Prototyping (RCP) System. The BMS consists of a central control unit and decentralized cell modules. Because auf its topology, it can be scaled flexible to a varying number of battery cells. It measures voltages, currents and temperatures, to avoid critical and lifetime shortening operating conditions. States like state of charge (SoC) and power capability are estimated, calculated and predicted therefor. The full capacity of each cell in the pack is used, by means of active or passive load balancing. The BMS functions are developed by using a low-cost RCP system, which consists of an open source simulation tool and a low cost hardware platform. The development of a nonlinear SoC estimator and an active balancing function will be used as an example for the model-based design process.
采用低成本快速控制原型(RCP)系统,提出了一种基于模型的锂离子电池柔性可扩展电池管理系统(BMS)的设计方案,包括硬件和软件功能。BMS由一个中央控制单元和分散的单元模块组成。由于它的拓扑结构,它可以灵活地伸缩到不同数量的电池单元。它测量电压,电流和温度,以避免临界和寿命缩短的操作条件。对荷电状态(SoC)和功率容量等状态进行了估计、计算和预测。通过主动或被动负载平衡,使用包中每个单元的全部容量。BMS功能的开发采用了低成本的RCP系统,该系统由开源仿真工具和低成本硬件平台组成。非线性SoC估计器和主动平衡函数的开发将作为基于模型的设计过程的一个例子。
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2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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