Hybrid Electric Vehicle Energy Management Based on Network Technology Shanghai Jiaotong University: Shanghai Jiao Tong University

Format:

Book

Conference/Event

Author/Creator:

Qin, Wengang, author.

Contributor:

Jiang, Dongdong

Yin, Chengliang

Zhang, Yong

Conference Name:

Vehicle Electrification and Powertrain Diversification Technology Forum Part I (2021-11-25 : Shanghai, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

HEV energy management strategy acquired a lot of attention due to the rapid growth of New Energy Vehicle (NEV) and Intelligent and Connected Vehicles (ICV). In this study, the vehicle was modelled in GT-suit and simulated with dynamic programming (DP) strategy, the result shows that the relationship between the state of charge (SOC) curve and the driving distance was approximately linear. Then a simplified network-based piece-wise linear equivalent fuel consumption minimization strategy (PLF-ECMS) is designed and applied to the HEV in road test. Finally, the experimental result shows that based on the trajectory and traffic information, the fuel consumption potential of PWL-ECMS was outstanding. The test result of vehicle fuel consumption with network information can be 37.8% lower than without network information when E-Drive remaining distance around 65% of total driving distance

Notes:

Vendor supplied data

Publisher Number:

2021-01-7036

Access Restriction:

Restricted for use by site license