Zone model predictive control for battery thermal management including battery aging and brake energy recovery in electrified powertrains

Caiyang Wei (Corresponding author), Theo Hofman (Corresponding author), Esin Ilhan Caarls, R.L. van Iperen

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)
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This paper proposes a detailed battery thermal management system for electrified powertrains. A battery aging model consisting of capacity fade and power fade sub-models is built to adjust state of charge estimation and heat generation. The trade-off between the benefit of recuperating braking energy and the cost of additional cooling power is investigated. It is found that the recovery ratio depends on the efficiency of the air conditioning system and the intensity and density of the available braking power. A zone model predictive control approach is developed to maintain the battery temperature within its optimal operating range with minimum power consumption. Remarkable energy consumption reduction can be achieved comparing to traditional controllers.
Original languageEnglish
Pages (from-to)303-308
Number of pages6
Issue number5
Publication statusPublished - 2019
Event9th IFAC Symposium on Advances in Automotive Control, (AAC2019) - Orleans, France
Duration: 24 Jun 201927 Jun 2019


  • Electrified powertrains
  • Battery thermal management
  • Battery aging
  • Brake energy recovery
  • Zone model predictive control

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