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An electrical DC Motor Equivalent Circuit testbed for the battery Prognostic Health and Management

机译:直流电动机等效电路测试电池的预后健康和管理

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In the recent industrialisation era, characterised by Industry 4.0 and Smart Factories concepts, machines are increasingly equipped with sensors and communication skills. There is a greater potential for increasing the system's awareness of the machine health and processes status that may lead to reduced downtime and increased level of automation and product quality, assuring a more dynamic responsiveness to changes in consumer demand. In this context, the Prognostics and Health Management (PHM) increasingly become an indispensable component of many engineering systems. Meantime, with the rapidly evolving technology of the smart grid, electric vehicles (EVs) and the consequent industrial twin of Automated Guided Vehicle (AGV), the battery is emerging as the most prominent energy storage device. Among this consideration, this paper aims to propose a practical DC Motor Equivalent Circuit testbed that may allow the design and the consequential training of a battery PHM system, able to grasp the information from the State-of-Charge (SOC), State-Of-Health (SOC) estimation evaluating the assessment of the predicted evolution with regards to the planned workload. In particular, the objective of the presented study is to contribute to the developing process of an innovative battery PHM system, proposing a reproducible and practical methodology for designing an equivalent load-dependent electrical circuit.
机译:在以工业4.0和智能工厂概念为特征的最近工业化时代,机器越来越配备传感器和通信技能。增强系统对机器运行状况和过程状态的意识的潜力更大,这可能会导致停机时间减少以及自动化和产品质量水平提高,从而确保对消费者需求变化的动态响应。在这种情况下,预测和健康管理(PHM)逐渐成为许多工程系统中不可缺少的组成部分。同时,随着智能电网,电动汽车(EV)和随之而来的自动导引车(AGV)的工业孪生技术的迅速发展,电池正在成为最突出的储能设备。考虑到这一点,本文旨在提出一种实用的直流电动机等效电路试验台,该试验台可以进行电池PHM系统的设计和后续培训,从而能够掌握充电状态(SOC),充电状态(State-Of)的信息。 -健康(SOC)评估,评估有关计划工作量的预测发展评估。特别地,本研究的目的是为创新的电池PHM系统的开发过程做出贡献,提出一种可重复且实用的方法来设计等效的负载相关电路。

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