Modelling the State of Charge of Lithium-ion batteries
| Autor: | Ridoy Das, Krishna Busawon, Yue Wang, Ghanim Putrus |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Polynomial regression
Work (thermodynamics) Computer science 020208 electrical & electronic engineering Time evolution chemistry.chemical_element Ranging 02 engineering and technology 021001 nanoscience & nanotechnology Ion State of charge chemistry Hardware_GENERAL 0202 electrical engineering electronic engineering information engineering Electronic engineering Lithium 0210 nano-technology Mobile device |
| Zdroj: | 2018 53rd International Universities Power Engineering Conference (UPEC). |
| Popis: | Lithium-ion batteries are widely adopted for multiple applications ranging from mobile devices to electric vehicles. The application of Lithium-ion batteries requires an accurate modelling approach that allows for the estimation of their behaviour, namely for their state of charge (SOC). In this respect, there are several models of SOC that are available in literature. However, none of these available models considers the battery degradation and the time evolution of the SOC for each cycle. In this work, we propose a new model of the SOC of Lithium-ion batteries, based on experimental test results. The proposed model incorporates both the time evolution of the SOC as well as the life cycle. It is shown that the SOC is related to the battery voltage following a Hill function characteristic. The model is time-varying and its parameters vary according to the number of cycles. Finally the performance of the proposed model is compared with a polynomial fit based method and the benefits of this modelling approach are highlighted. |
| Databáze: | OpenAIRE |
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