A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution

AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

[HTML][HTML] Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles

AS Mohammed, SM Atnaw, AO Salau, JN Eneh - Energy Reports, 2023 - Elsevier
Energy management strategies and optimal power source sizing for fuel cell/battery/super
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

R **ong, L Li, J Tian - Journal of Power Sources, 2018 - Elsevier
To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the
health state of the battery properly is of significant importance. This study aims to serve as a …

A comprehensive review of the key technologies for pure electric vehicles

Z Li, A Khajepour, J Song - Energy, 2019 - Elsevier
Nowadays, the emissions from conventional vehicles significantly contribute to increasingly
serious environmental issues. In addition, the energy crisis and the low energy efficiency of …

Pontryagin's minimum principle based model predictive control of energy management for a plug-in hybrid electric bus

S **e, X Hu, Z **n, J Brighton - Applied energy, 2019 - Elsevier
To improve computational efficiency of energy management strategies for plug-in hybrid
electric vehicles (PHEVs), this paper proposes a stochastic model predictive controller …

Reinforcement learning for demand response: A review of algorithms and modeling techniques

JR Vázquez-Canteli, Z Nagy - Applied energy, 2019 - Elsevier
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

Active cell equalization topologies analysis for battery packs: A systematic review

N Ghaeminezhad, Q Ouyang, X Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing use of rechargeable lithium-ion battery packs in numerous applications,
it calls for an effective evaluation of active battery cell equalization to enhance the whole …

Reinforcement learning for hybrid and plug-in hybrid electric vehicle energy management: Recent advances and prospects

X Hu, T Liu, X Qi, M Barth - IEEE Industrial Electronics …, 2019 - ieeexplore.ieee.org
Energy management is a critical technology in plug-in hybrid-electric vehicles (PHEVs) for
maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. At …

Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles

H Sun, Z Fu, F Tao, L Zhu, P Si - Journal of Power Sources, 2020 - Elsevier
A reinforcement-learning-based energy management strategy is proposed in this paper for
managing energy system of Fuel Cell Hybrid Electric Vehicles (FCHEV) equipped with three …

Optimized rule-based energy management for a polymer electrolyte membrane fuel cell/battery hybrid power system using a genetic algorithm

HB Yuan, WJ Zou, S Jung, YB Kim - International Journal of Hydrogen …, 2022 - Elsevier
The polymer electrolyte membrane fuel cell (PEMFC) coupled with the battery is a promising
hybrid power system for future energy supply application. Fuel cell durability, battery charge …