W Enang, C Bannister - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
The gradual decline in global oil reserves and presence of ever so stringent emissions rules around the world, have created an urgent need for the production of automobiles with …
Energy management strategy is crucial in improving the fuel economy of hybrid electric vehicles (HEVs). This paper targets at evaluating the role of velocity forecast in the adaptive …
S Zhang, R Xiong, F Sun - Applied energy, 2017 - Elsevier
The fuel economy performance of plug-in hybrid electric vehicles (PHEVs) strongly depends on the power management strategy. This study proposes an integrated power management …
S Xie, H He, J Peng - Applied energy, 2017 - Elsevier
Abstract Model predictive control (MPC) can effectively solve online optimization issues, even with various constraints, when maintained at high robustness. Considering the energy …
S Uebel, N Murgovski, C Tempelhahn… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
An assessment study of a novel approach is presented that combines discrete state-space Dynamic Programming and Pontryagin's Maximum Principle for online optimal control of …
SJ Rind, Y Ren, Y Hu, J Wang… - Chinese Journal of …, 2017 - ieeexplore.ieee.org
In recent decades, worldwide global warming and reduction in petroleum resources have accelerated researcher's attention to produce alternative sustainable and environmentally …
Z Chen, R Xiong, C Wang, J Cao - Applied energy, 2017 - Elsevier
Predictive energy management could be implemented in real-time with a short period of future driving cycle prediction. However, the completely precise prediction of the future …
G Li, J Zhang, H He - Applied Energy, 2017 - Elsevier
In this paper, model predictive control (MPC) is employed to resolve the energy management problem of a plug-in hybrid electric bus (PHEB). Dynamic programming (DP) …