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 …
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
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 …
capacitor hybrid electric vehicles (HEVs) are critical for power splitting and cost-effective …
[HTML][HTML] A comprehensive review on energy storage in hybrid electric vehicle
The sharp inclination in the emissions from conventional vehicles contribute to a significant
increase in environmental issues, besides the energy crises and low conversion efficiency …
increase in environmental issues, besides the energy crises and low conversion efficiency …
[HTML][HTML] Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms
Transportation electrification has been fueled by recent advancements in the technology
and manufacturing of battery systems, but the industry yet is facing serious challenges that …
and manufacturing of battery systems, but the industry yet is facing serious challenges that …
[HTML][HTML] One-shot battery degradation trajectory prediction with deep learning
The degradation of batteries is complex and dependent on several internal mechanisms.
Variations arising from manufacturing uncertainties and real-world operating conditions …
Variations arising from manufacturing uncertainties and real-world operating conditions …
[HTML][HTML] Data-driven systematic parameter identification of an electrochemical model for lithium-ion batteries with artificial intelligence
Electrochemical models are more and more widely applied in battery diagnostics,
prognostics and fast charging control, considering their high fidelity, high extrapolability and …
prognostics and fast charging control, considering their high fidelity, high extrapolability and …
Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives
Electrified vehicles provide an effective solution to address the unfavorable impacts of fossil
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
fuel use in the transportation sector. Energy management strategy (EMS) is the core …
Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm
This study aims to improve the fuel economy of extended range electric vehicles (EREVs)
and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs …
and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs …
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries
An accurate estimation of the internal states of lithium-ion batteries is critical to improving the
reliability and durability of battery systems. Data-driven methods have exhibited enormous …
reliability and durability of battery systems. Data-driven methods have exhibited enormous …
Critical review of intelligent battery systems: Challenges, implementation, and potential for electric vehicles
L Komsiyska, T Buchberger, S Diehl, M Ehrensberger… - Energies, 2021 - mdpi.com
This review provides an overview of new strategies to address the current challenges of
automotive battery systems: Intelligent Battery Systems. They have the potential to make …
automotive battery systems: Intelligent Battery Systems. They have the potential to make …