Towards adaptive health-aware charging of Li-ion batteries: A real-time predictive control approach using first-principles models
| Autor: | Richard D. Braatz, Sergio Lucia, Marcello Torchio, Rolf Findeisen, Reinhardt Klein, Davide M. Raimondo |
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| Rok vydání: | 2017 |
| Předmět: |
Battery (electricity)
Engineering business.industry Fast charging 020209 energy Control engineering Model parameters 02 engineering and technology Reliability engineering Model predictive control Safe operation Hardware_GENERAL Range (aeronautics) 0202 electrical engineering electronic engineering information engineering Nonlinear predictive control business Adaptation (computer science) |
| Zdroj: | ACC |
| Popis: | Today's charging strategies of Li-ion batteries are often designed off-line and do not balance optimal fast charging and battery lifetime. By a lack of adaptation during operation, the off-line charging strategies do not allow aging-related changes of the battery properties to be taken into account. As such, to achieve safe operation, batteries and cells are typically operated in a range that is far away from the achievable operational limits. This article presents a nonlinear predictive control strategy that allows real-time optimal health-aware charging based on detailed first-principles models. The approach balances fast charging while improving battery lifetime. By considering the on-line adjustment of battery model parameters, the approach is able to directly take aging- and environment-related changes into account. |
| Databáze: | OpenAIRE |
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