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Intelligent system for improving the state of batteries of electric vehicles through mechanical learning and artificial intelligence

机译:通过机械学习和人工智能改善电动汽车电池状态的智能系统

摘要

Intelligent system for improving the state of batteries of electric vehicles using machine learning and artistic intelligence, including:an electric vehicle battery pack consisting of:several cell modules arranged in series and parallel;a battery monitoring device typically used to monitor the voltage of each battery cell in the system, the temperature of different points in the battery packs and other conditions of the vehicle;a battery management system (BMS), comprising the battery management system (BMS):monitoring components in the vicinity of the battery cells themselves, one or more power conversion stages, which are tailored to the needs of the vehicle; andan intelligent control unit is placed at strategic points in the architecture to manage different aspects of the vehicle energy subsystem, with a data storage to a battery cell management controller (CMC) and, depending on complexitythe system, to which higher processing elements are notified,where the intelligent control device is used to control the efficient charging and discharge of the battery, as this avoids thermal extractors or other conditions that would either reduce the battery's capacity or service life, using an algorithm for machine learning, which is used to manage and improve the state of batteries in electric vehicles.
机译:用于通过机器学习和艺术智能提高电动汽车电池状态的智能系统,包括:电动汽车电池组,包括:多个串联布置的电池模块并联布置;通常用于监测每个电池的电压的电池监控设备在系统中的单元格,电池组中不同点的温度和车辆的其他条件;电池管理系统(BMS),包括电池管理系统(BMS):一个电池单元附近的组件本身,一个或者更多的电源转换阶段,适合车辆的需求;安先生智能控制单元在架构中的战略点放置,以管理车辆能量子系统的不同方面,利用数据存储到电池单元管理控制器(CMC),并且根据复杂性,通知更高的处理元件的系统,在智能控制设备用于控制电池的有效充电和放电的情况下,避免了热提取器或其他可以使用机器学习算法来降低电池容量或使用寿命的其他条件,用于管理和改善电动汽车电池状态。

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