UC Riverside reinforcement-learning-based real-time energy management system can improve PHEV efficiency by almost 12%

Researchers at the University of California, Riverside’s Bourns College of Engineering have demonstrated that a new, data-driven, reinforcement-learning-based, real-time energy management system (EMS) can improve the efficiency of current plug-in hybrid electric vehicles (PHEVs) by almost 12% compared to the standard, binary mode control strategy.

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