Review on reinforcement learning-based energy management strategies for hybrid electric vehicles

HIGHLIGHTS

• who: Crimson Publishers and collaborators from the The University of Alabama, USA have published the article: Review on Reinforcement Learning-Based Energy Management Strategies for Hybrid Electric Vehicles, in the Journal: (JOURNAL) of December/08,/2021
• what: This approach has proven to be very effective for small and lowdimensional control tasks.
• how: Their results showed that compared with stochastic dynamic programming the Dyna-Q algorithm has strong adaptability optimality and learning ability and can effectively reduce computational time. The simulation results showed that the SARSA algorithm outperforms Q-learning in battery SOC preservation . . .
  

   

  

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