Follow
Jiankun Peng(彭剑坤)
Jiankun Peng(彭剑坤)
Associate Professor, School of Transportation, Southeast University
Verified email at seu.edu.cn
Title
Cited by
Cited by
Year
Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming
J Peng, H He, R Xiong
Applied Energy 185, 1633-1643, 2017
6412017
Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus
J Wu, H He, J Peng, Y Li, Z Li
Applied energy 222, 799-811, 2018
3432018
Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus
Y Wu, H Tan, J Peng, H Zhang, H He
Applied energy 247, 454-466, 2019
2692019
Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle
R Lian, J Peng, Y Wu, H Tan, H Zhang
Energy 197, 117297, 2020
2112020
Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle
X Han, H He, J Wu, J Peng, Y Li
Applied Energy 254, 113708, 2019
2112019
An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses
S Xie, H He, J Peng
Applied energy 196, 279-288, 2017
1952017
A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles
G Jinquan, H Hongwen, P Jiankun, Z Nana
Energy 175, 378-392, 2019
1602019
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
J Peng, J Luo, H He, B Lu
Applied energy 253, 113520, 2019
1592019
Deep reinforcement learning-based energy management for a series hybrid electric vehicle enabled by history cumulative trip information
Y Li, H He, J Peng, H Wang
IEEE Transactions on Vehicular Technology 68 (8), 7416-7430, 2019
1512019
Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space
H Tan, H Zhang, J Peng, Z Jiang, Y Wu
Energy Conversion and Management 195, 548-560, 2019
1462019
Energy management for a power-split hybrid electric bus via deep reinforcement learning with terrain information
Y Li, H He, A Khajepour, H Wang, J Peng
Applied Energy 255, 113762, 2019
1392019
Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS μCOS-II platform
H He, R Xiong, J Peng
Applied energy 162, 1410-1418, 2016
1352016
Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management
R Lian, H Tan, J Peng, Q Li, Y Wu
IEEE Transactions on Vehicular Technology 69 (8), 8367-8380, 2020
962020
Real-time global driving cycle construction and the application to economy driving pro system in plug-in hybrid electric vehicles
H Hongwen, G Jinquan, P Jiankun, T Huachun, S Chao
Energy 152, 95-107, 2018
942018
Hybrid electric vehicle energy management with computer vision and deep reinforcement learning
Y Wang, H Tan, Y Wu, J Peng
IEEE Transactions on Industrial Informatics 17 (6), 3857-3868, 2020
802020
Predictive air-conditioner control for electric buses with passenger amount variation forecast☆
H He, M Yan, C Sun, J Peng, M Li, H Jia
Applied energy 227, 249-261, 2018
682018
An acceleration slip regulation strategy for four-wheel drive electric vehicles based on sliding mode control
H He, J Peng, R Xiong, H Fan
Energies 7 (6), 3748-3763, 2014
682014
Deep learning for vehicle speed prediction
M Yan, M Li, H He, J Peng
Energy Procedia 152, 618-623, 2018
662018
A rule-based energy management strategy for a plug-in hybrid school bus based on a controller area network bus
J Peng, H Fan, H He, D Pan
Energies 8 (6), 5122-5142, 2015
612015
A deep reinforcement learning-based energy management framework with lagrangian relaxation for plug-in hybrid electric vehicle
H Zhang, J Peng, H Tan, H Dong, F Ding
IEEE Transactions on Transportation Electrification 7 (3), 1146-1160, 2020
442020
The system can't perform the operation now. Try again later.
Articles 1–20