| 1 |
Performance evaluation and optimization of a novel plug-in power-reflux hybrid electric vehicle powertrain
Sun GL, Sun DY, Liu JL, Ma K
International Journal of Energy Research, 44(5), 3412, 2020 |
| 2 |
Efficient model predictive control for real-time energy optimization of battery-supercapacitors in electric vehicles
Yu SM, Lin D, Sun Z, He DF
International Journal of Energy Research, 44(9), 7495, 2020 |
| 3 |
Pontryagin's Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus
Xie SB, Hu XS, Xin ZK, Brighton J
Applied Energy, 236, 893, 2019 |
| 4 |
Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge
Xie SB, Hu XS, Qi SW, Tang XL, Lang K, Xin ZK, Brighton J
Energy, 173, 667, 2019 |
| 5 |
The geometric convexity on SE(3) and its application to the formation tracking in multi-vehicle systems
Peng XH, Sun JY, Geng ZY
International Journal of Control, 92(3), 528, 2019 |
| 6 |
Regenerative braking energy recovery strategy based on Pontryagin's minimum principle for fell cell/supercapacitor hybrid locomotive
Li Q, Huang WQ, Chen WR, Yan Y, Shang WL, Li M
International Journal of Hydrogen Energy, 44(11), 5454, 2019 |
| 7 |
NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty
Aydin E, Bonvin D, Sundmacher K
Computers & Chemical Engineering, 108, 47, 2018 |
| 8 |
Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system
Song ZY, Zhang XB, Li JQ, Hofmann H, Ouyang MG, Du JY
Energy, 144, 393, 2018 |
| 9 |
Energy management for plug-in hybrid electric vehicles considering optimal engine ON/OFF control and fast state-of-charge trajectory planning
Guo NY, Shen JW, Xiao RX, Yan WS, Chen Z
Energy, 163, 457, 2018 |
| 10 |
An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles
Xie SB, Hu XS, Qi SW, Lang K
Energy, 163, 837, 2018 |
