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Design of DSP Controlled Passive Cell Balancing Network based Battery Management System for EV Application

机译:基于DSP控制无源电池平衡网络的EV应用程序设计

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Growing response for Electric Vehicles (EV) across the world is an implication of techno-economical efforts targeted to mitigate the challenges related to fossil fuels. Energy storage powering EVs is a very critical component. A battery pack used as energy storage in EVs uses many battery cells connected in series and parallel. These battery cells need close monitoring and management system during its operation in EVs. Such a system referred to as ‘Battery Management System’ (BMS) ensures a safe operating envelope while increasing battery power delivery capabilities and improving lifetime. The cell voltage balancing along with the State of Charge (SOC) and State of Health (SOH) monitoring are some of the critical functions of BMS. For EVs to become the best techno-commercial alternative for gasoline-based vehicles, BMS and battery packs will play a very crucial role. This paper highlights the state of the art of BMS and illustrates the passive cell balancing network design for Lithium-Iron-Phosphate (LiFePO4) batteries based on Digital Signal Processor (DSP) TMS320F28379D controller. Some key simulation and hardware results are presented to demonstrate the SOC estimation using the Coulombs counting method and battery cell balancing mechanism.
机译:世界各地的电动汽车(EV)的日益响应是针对化石燃料相关挑战的技术经济努力的含义。能量存储动力EVS是一个非常关键的组件。用作EVS中的能量存储的电池组使用串联连接的许多电池单元并并联。这些电池单元在EVS操作期间需要密切监控和管理系统。这种系统称为“电池管理系统”(BMS)可确保安全的操作包络,同时增加电池电力输送能力和提高寿命。电池电压平衡以及充电状态(SOC)和健康状态(SOH)监测是BMS的一些关键功能。对于EVS成为汽油基车辆的最佳技术商业替代品,BMS和电池组将发挥至关重要的作用。本文突出了BMS领域,并说明了基于数字信号处理器(DSP)TMS320F28379D控制器的铁磷酸锂 - 磷酸盐(LiFePO4)电池的被动细胞平衡网络设计。提出了一些关键仿真和硬件结果以展示使用库仑计数方法和电池单元平衡机制的SOC估计。

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