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

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.