A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles

Z Chen, Y Liu, M Ye, Y Zhang, G Li - Renewable and Sustainable Energy …, 2021 - Elsevier
Hybrid electric vehicles (HEVs), as a promising solution to mitigate environmental pollution
and reduce fuel consumption, employ a combination of fuel and electric power as power …

High robustness energy management strategy of hybrid electric vehicle based on improved soft actor-critic deep reinforcement learning

W Sun, Y Zou, X Zhang, N Guo, B Zhang, G Du - Energy, 2022 - Elsevier
As a hybrid electric vehicle (HEV) key control technology, intelligent energy management
strategies (EMSs) directly affect fuel consumption. Investigating the robustness of EMSs to …

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 …, 2019 - ieeexplore.ieee.org
It is essential to develop proper energy management strategies (EMSs) with broad
adaptability for hybrid electric vehicles (HEVs). This paper utilizes deep reinforcement …

An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information

Z Lei, D Qin, L Hou, J Peng, Y Liu, Z Chen - Energy, 2020 - Elsevier
Energy management strategies play an important role in performance optimization of plug-in
hybrid electric vehicles (PHEVs), and can be further improved by incorporating external …

Deep reinforcement learning based adaptive energy management for plug-in hybrid electric vehicle with double deep Q-network

D Shi, H Xu, S Wang, J Hu, L Chen, C Yin - Energy, 2024 - Elsevier
The equivalent consumption minimization strategy (ECMS) with pre-calibrated constant
equivalence factor (EF) can ensure near global optimal solution for certain driving cycle and …

Pontryagin's minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information

D Shi, S Liu, Y Cai, S Wang, H Li, L Chen - Applied Energy, 2021 - Elsevier
Pontryagin's minimum principle (PMP) based energy management strategy, which describes
the optimal power distribution of hybrid electric vehicle as Hamiltonian minimization …

An efficient vehicle-following predictive energy management strategy for PHEV based on improved sequential quadratic programming algorithm

C Yang, M Wang, W Wang, Z Pu, M Ma - Energy, 2021 - Elsevier
For the vehicle-following scenario, control design of plug-in hybrid electric vehicle (PHEV)
needs to care about not only the efficient energy conversion, but also the driving safety by …

Optimal control of power-split hybrid electric powertrains with minimization of energy consumption

B Zhang, J Zhang, F Xu, T Shen - Applied Energy, 2020 - Elsevier
This paper presents a real-time optimization strategy that targets on short-term energy
consumption for the power-split hybrid electric vehicles (HEV) by focusing the mechanical …

Multi source electric vehicles: Smooth transition algorithm for transient ripple minimization

A Oubelaid, N Taib, T Rekioua, M Bajaj, V Blazek… - Sensors, 2022 - mdpi.com
Any engineering system involves transitions that reduce the performance of the system and
lower its comfort. In the field of automotive engineering, the combination of multiple motors …

Research on equivalent factor boundary of equivalent consumption minimization strategy for PHEVs

J Li, Y Liu, D Qin, G Li, Z Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The equivalent fuel consumption minimum strategy (ECMS) based on the Pontryagin's
minimum principle (PMP) enables real-time energy management optimization of plug-in …