A comprehensive review of power converter topologies and control methods for electric vehicle fast charging applications
Wide-scale adoption and projected growth of electric vehicles (EVs) necessitate research
and development of power electronic converters to achieve high power, low-cost, and …
and development of power electronic converters to achieve high power, low-cost, and …
Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges
The pressure of energy crisis and environmental protection has fueled the rapid
development of electric vehicles. The lithium-ion batteries are widely used in electric …
development of electric vehicles. The lithium-ion batteries are widely used in electric …
[HTML][HTML] Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives
The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …
[HTML][HTML] A survey of digital twin techniques in smart manufacturing and management of energy applications
With the continuous advancement and exploration of science and technology, the future
trend of energy technology will be the deep integration of digitization, networking …
trend of energy technology will be the deep integration of digitization, networking …
A review on energy efficient technologies for electric vehicle applications
RT Yadlapalli, A Kotapati, R Kandipati… - Journal of Energy …, 2022 - Elsevier
This paper presents the technological advancements of the electric vehicles (EVs) all over
the world. The first emphasis is on the various types of the EVs along with the energy …
the world. The first emphasis is on the various types of the EVs along with the energy …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
Battery cross-operation-condition lifetime prediction via interpretable feature engineering assisted adaptive machine learning
We develop an adaptive machine-learning framework that addresses cross-operation-
condition battery lifetime prediction, particularly under extreme conditions. This framework …
condition battery lifetime prediction, particularly under extreme conditions. This framework …
Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization
Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …
entails a variety of complex variables as well as unpredictability in given conditions. Data …
Engineering electrochemical surface for efficient carbon dioxide upgrade
Electrochemical CO2 conversion offers an attractive route for recycling CO2 with economic
and environmental benefits, while the catalytic materials and electrode structures still require …
and environmental benefits, while the catalytic materials and electrode structures still require …
[HTML][HTML] Application of artificial intelligence for ev charging and discharging scheduling and dynamic pricing: A review
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …