During the development of electric vehicles and non-road mobile machinery, dynamic system-level simulations are utilized to validate the design and the sizing of components as well as to validate the control software. The model needs to predict e.g. the open-circuit voltage, terminal voltage, and state-of-charge under various load profiles. Electrical battery models are commonly used, because they are simple and computationally relatively light but still provide good accuracy. Despite the simplicity and low number of parameters, the complex behavior of electrochemical batteries still make the parameter extraction a tedious process. The problematic nature of the parameters to depend on the state-of-charge, temperature, current-rate, current-direction, and aging causes challenges in the parameterization. This paper describes and demonstrates the model parameter extraction process for a Thevenin-based electrical model, and presents a set of experiments and a methodology to extract the parameters. A commercial lithium-manganese-nickel-cobalt-oxide battery module is used in the experiments. Copyright © (2012) by the Electric Drive Transportation Association.
|Title of host publication||26th Electric Vehicle Symposium 2012, EVS 2012|
|Publication status||Published - May 2012|
|MoE publication type||A4 Article in a conference publication|