Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

Article English OPEN
Yue Hu; Weimin Li; Kun Xu; Taimoor Zahid; Feiyan Qin; Chenming Li;
  • Publisher: MDPI AG
  • Journal: Applied Sciences (issn: 2076-3417)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/app8020187
  • Subject: Chemistry | QD1-999 | Engineering (General). Civil engineering (General) | Technology | QH301-705.5 | TA1-2040 | T | energy management strategy | Physics | hybrid electric vehicle | deep reinforcement learning | QC1-999 | Biology (General) | online learning
    acm: ComputerApplications_COMPUTERSINOTHERSYSTEMS

An energy management strategy (EMS) is important for hybrid electric vehicles (HEVs) since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS. Most existing EMS m... View more
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