Open AccessA review of hybrid electric vehicle energy management strategy based on road condition information
Author(s) -
Zaiqiang Meng,
Guoqiang Tang,
Qianlu Zhou,
Bin Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/831/1/012031
Subject(s) - automotive engineering , energy management , electric vehicle , fuel efficiency , computer science , transport engineering , energy consumption , power demand , energy (signal processing) , power (physics) , power consumption , engineering , electrical engineering , statistics , physics , mathematics , quantum mechanics
Energy management strategy (EMS) plays a vital role in energy saving for hybrid electric vehicle (HEV), which incorporates the advantages of both fuel vehicles and pure electric vehicles. A desirable EMS can not only help the vehicle meet the power demand, but also effectively reduce fuel consumption and realize long-distance driving. At present, most of existing EMSs are optimized based on specific driving conditions, which makes these strategies not adaptive to the dynamic real-world driving conditions. This paper analyses some traditional EMSs of HEV based on fixed road conditions, and points out their shortcomings and future development trends.