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Guoqiang Li 0009
Person information
- affiliation: University of Kaiserslautern, Kaiserslautern, Germany
Other persons with the same name
- Guoqiang Li — disambiguation page
- Guoqiang Li 0001 — Shanghai Jiao Tong University, School of Software, China (and 2 more)
- Guoqiang Li 0002 — Yanshan University, Qinhuangdao, China
- Guoqiang Li 0003 — Beijing institute of Technology, China (and 1 more)
- Guoqiang Li 0004 — Chinese Academy of Sciences, Institute of Acoustics, Beijing, China
- Guoqiang Li 0005 — Chinese Academy of Medical Sciences, Institute of Medicinal Plant Development, China
- Guoqiang Li 0006 — Beijing University of Posts and Telecommunications, China
- Guoqiang Li 0007 — Norwegian University of Science and Technology, Gjøvik, Norway
- Guoqiang Li 0008 — Huawei Technologies, Shenzhen, China
- Guoqiang Li 0010 — Fudan University, Shanghai, China
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2020 – today
- 2022
- [j6]Guoqiang Li, Daniel Görges, Meng Wang:
Online Optimization of Gear Shift and Velocity for Eco-Driving Using Adaptive Dynamic Programming. IEEE Trans. Intell. Veh. 7(1): 123-132 (2022) - 2020
- [j5]Guoqiang Li, Daniel Görges, Chaoxu Mu:
Integrated adaptive dynamic programming for data-driven optimal controller design. Neurocomputing 403: 143-152 (2020) - [j4]Guoqiang Li, Daniel Görges:
Ecological Adaptive Cruise Control for Vehicles With Step-Gear Transmission Based on Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 21(11): 4895-4905 (2020)
2010 – 2019
- 2019
- [j3]Guoqiang Li, Daniel Görges:
Energy management strategy for parallel hybrid electric vehicles based on approximate dynamic programming and velocity forecast. J. Frankl. Inst. 356(16): 9502-9523 (2019) - [j2]Guoqiang Li, Daniel Görges:
Ecological Adaptive Cruise Control and Energy Management Strategy for Hybrid Electric Vehicles Based on Heuristic Dynamic Programming. IEEE Trans. Intell. Transp. Syst. 20(9): 3526-3535 (2019) - [j1]Guoqiang Li, Daniel Görges:
Fuel-Efficient Gear Shift and Power Split Strategy for Parallel HEVs Based on Heuristic Dynamic Programming and Neural Networks. IEEE Trans. Veh. Technol. 68(10): 9519-9528 (2019)
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