Data-driven battery degradation model leveraging average degradation function fitting

초록

When the batteries of electrical vehicles are used to provide vehicle-to-grid (V2G) ancillary service, battery life is shortened due to additional battery usage. To consider battery degradation, cycle life-based approach with degradation density function (DDF) is popular. However, the previous modelling cannot capture the well-known fact that battery may severely degrade at both ends of battery, i.e. when full or empty. A novel method of obtaining DDF using the curve fitting over average degradation function is proposed. The proposed method tightly fits the empirical measurements and thus provides a better way of operating V2G considering battery degradation. The results show that the proposed method reduces battery degradation by up to 28.9% while achieving the same revenue.

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