Data‐driven battery degradation model leveraging average degradation function fitting
| Autor: | Kyo-Han Kim, Hongseok Kim, Yohwan Choi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Battery (electricity)
Engineering business.industry 020209 energy 020208 electrical & electronic engineering Probability density function 02 engineering and technology Function (mathematics) Ancillary service Reliability engineering Data-driven Hardware_GENERAL 0202 electrical engineering electronic engineering information engineering Curve fitting Battery degradation Electrical and Electronic Engineering business Simulation Degradation (telecommunications) |
| Zdroj: | Electronics Letters. 53:102-104 |
| ISSN: | 1350-911X 0013-5194 |
| DOI: | 10.1049/el.2016.3096 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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