Predictive battery thermal management strategy for fast charging electric vehicles - Type the subtitle of the paper
| Autor: | Rosca, B., Steven Wilkins |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Fast charging
Lithium-ion batteries Temperature control Electric vehicles Hardware_PERFORMANCEANDRELIABILITY Control decisions Management control Disturbance prediction Battery management systems Thermal management (electronics) Battery temperature MPC Hardware_GENERAL Charging (batteries) Safe operation Hardware_INTEGRATEDCIRCUITS Li-ion battery Thermal management Battery thermal managements Thermal Performance |
| Zdroj: | 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, 30 September 2018 through 3 October 2018 Scopus-Elsevier |
| Popis: | Battery thermal management is essential to efficienct and safe operation of Li-ion batteries, particularly in challenging applications such as fast charging. This work proposes a thermal management control framework based on MPC. The novelty of this approach resides in the focus on incorporating disturbance prediction into the control decision. Simulations show that this methodology allows for (1) lower peak and mean battery temperatures during fast charging for a similarly sized battery thermal management system; or (2) battery thermal management system downsizing for similar thermal performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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