Control oriented battery pack models can be very useful in the context of electrified vehicle development because such models can be used to develop the battery management system, which is a broad term that encompasses everything from thermal management and charge balancing to state of charge estimation. In this paper, a control oriented battery pack model is developed using the Modelica modeling environment. This model combines a Randle equivalent circuit representation with an lumped parameter thermal model for each cell to provide simultaneously the electrical and thermal variations among the cells. Modelica differs from modeling environment such as Simulink because it offers non-causal modeling, which handles both differential and algebraic equations. The resulting implementation is both scalable and flexible to accomodate any pack size, geometry, and connection. As part of the future work, supporting architectures such as the charge balancing system and thermal management system can be added to the pack model to simulate the complete pack operation.
- Dynamic Systems and Control Division
Implementation of a Control-Oriented Electro-Thermal Battery Pack Model Using Modelica Available to Purchase
Chen, J, & Hu, Y. "Implementation of a Control-Oriented Electro-Thermal Battery Pack Model Using Modelica." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 273-278. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8525
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