Model based Lithium Ion cell ageing data analysis

This paper reports the model based analysis of Lithium Ion cell ageing and the age-related adaptation of data driven battery models is addressed. To take account of ageing is an important issue e. g. for the battery management of (hybrid) electrical vehicles, in order to provide an exact online estimate of the state of charge (SoC). As a first step, ageing data analysis based on the architecture of local model networks (LMNs) is presented using data from a large scale ageing experiment of Lithium Ion cells. Additionally, the topic of time-variant battery modelling is addressed. Thus, the LMN is adapted in a way that age-related effects (such as capacity decay and resistance increase) are taken into account. Such a model can further be used for the design of a combined observer for SoC and state of health (SoH).