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energy management optimization strategy utilizing dyanmic programming and potryagin's maximum principle
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
动态规划
The energy management problem in real time is equivalent consumption minimization strategy (ECMS).
Rule based strategy for energy management of Hybrid Electric Vehicle in Simulink
Dynamic programming based framework for optimizing cruise fuel usage
This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems.
Utilizing dynamic programming, I optimally schedule electric battery usage for a plug-in hybrid electric vehicle to minimize fuel consumption.
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