SoC Planner for Predictive Energy Management of Fuel Cell Vehicles
Author:
Affiliation:
1. School of Mechanical and Vehicle, Beijing Institute of Technology,Beijing,China
2. College of Mechanical and Vehicle Engineering, Hunan University,Changsha,China
3. GAC R&D Center, Guangzhou Automobile Group Co., Ltd,Guangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9698824/9699115/09699249.pdf?arnumber=9699249
Reference20 articles.
1. Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles[J];sun;IEEE Transactions on Control Systems Technology,2015
2. Towards connected autonomous driving: review of use-cases[J];umberto;Vehicle System Dynamics,2018
3. Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective[J];martinez;IEEE Transactions on Vehicular Technology,2016
4. Real-time global driving cycle construction and the application to economy driving pro system in plug-in hybrid electric vehicles
5. Bi-level Energy Management of Plug-in Hybrid Electric Vehicles for Fuel Economy and Battery Lifetime with Intelligent State-of-charge Reference
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