Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous …

X Zhou, F Sun, C Sun, C Zhang - Journal of Power Sources, 2022 - Elsevier
Adapting to the instantaneous disturbance in the driving environment and balancing the
optimality and computational efficiency of control algorithms are two major challenges for the …

Co-optimization of speed trajectory and power management for a fuel-cell/battery electric vehicle

Y Kim, M Figueroa-Santos, N Prakash, S Baek… - Applied Energy, 2020 - Elsevier
With the advent of vehicle connectivity via intelligent transportation systems, the
simultaneous optimization of powertrain operation and vehicle dynamics has become an …

Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration

MAM Zulkefli, J Zheng, Z Sun, HX Liu - Transportation Research Part C …, 2014 - Elsevier
Abstract Recent advances in Inter-Vehicle Communications (IVC) and Vehicle-Infrastructure
Integration (VII) paved ways to real-time information sharing among vehicles, which are …

Stochastically predictive co-optimization of the speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently

X Zhou, F Sun, C Zhang, C Sun - Journal of Power Sources, 2022 - Elsevier
With inevitable random disturbance in traffic scenarios, electric vehicles (EVs) may face the
driving safety issue, while, if operated over cautiously, the frequent speed variation …

Trip-oriented model predictive energy management strategy for plug-in hybrid electric vehicles

Z Lei, D Sun, J Liu, D Chen, Y Liu, Z Chen - Ieee Access, 2019 - ieeexplore.ieee.org
Energy management strategies play a critical role in performance optimization of plug-in
hybrid electric vehicles (PHEVs). In order to attain effective energy distribution of PHEVs, a …

Real-time and hierarchical energy management-control framework for electric vehicles with dual-motor powertrain system

X Yu, C Lin, Y Tian, M Zhao, H Liu, P Xie, JZ Zhang - Energy, 2023 - Elsevier
To achieve a real-time optimization of the economic and dynamic performance for electric
vehicles equipped with the dual-motor powertrain system, this study proposed a hierarchical …

Convex optimization-based predictive and bi-level energy management for plug-in hybrid electric vehicles

Y Li, F Wang, X Tang, X Hu, X Lin - Energy, 2022 - Elsevier
Energy management is one of the key technologies to improve the energy efficiency of
electrified vehicles. In the existing real-time powertrain control strategies, most studies focus …

A stochastic predictive energy management strategy for plug-in hybrid electric vehicles based on fast rolling optimization

C Yang, S You, W Wang, L Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a stochastic predictive energy management strategy based on fast
rolling optimization for plug-in hybrid electric vehicles (PHEVs). First, combined with a large …

Optimal energy allocation strategy for electric vehicles based on the real-time model predictive control technology

H Wei, L Fan, Q Ai, W Zhao, T Huang… - … Energy Technologies and …, 2022 - Elsevier
Electric vehicles (EVs) are regarded as the clean transportation due to their wide promising
application in the energy conservation and vehicle safety. However, how to allocate the …

An efficient multi-objective hierarchical energy management strategy for plug-in hybrid electric vehicle in connected scenario

W Cui, N Cui, T Li, Z Cui, Y Du, C Zhang - Energy, 2022 - Elsevier
Nowadays, the comprehensive performance of plug-in hybrid electric vehicle (PHEV) is
expected to be further improved with development of connected vehicle technology …