Current electric vehicle batteries are characterised by a limited lifetime based on the steadily decreasing ability to fulfil the minimum requirements for the automotive application. A lack of experience in state of health conditions of old electric vehicle batteries and possible end-of-first-life (Eo1L) value chains pose a challenge to identify the monetary outcome and pursued way for old batteries. The aim of this PhD Thesis is to investigate the impact of typical driver behaviour on battery aging and the expected state of health, to identify the impact of battery aging on the driver limitations as well as to develop a dynamic, parameter based discounted cash flow model, which helps to analyze the economy of battery Eo1L value chains i.e. Recycling, Remanufacturing and Second-Life.
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