Abstract
Abstract Monitoring of lithium-ion batteries is a challenging task due to the nonlinear behavior, especially on-board a vehicle. In this article, a model-based monitoring method for an automotive battery pack is presented based on a linear parameter-varying model. The model is obtained by system identification using cell measurement data and extended to the battery pack. It is shown how such a model can be used either for cell temperature monitoring or for monitoring of the state of health of the battery. Results are demonstrated using driving cycle measurements from a battery pack for hybrid vehicles.
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