Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …
batteries. The deep learning technique, a game changer in many fields, has recently …
Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
A review of lithium-ion battery failure hazards: Test standards, accident analysis, and safety suggestions
The frequent safety accidents involving lithium-ion batteries (LIBs) have aroused
widespread concern around the world. The safety standards of LIBs are of great significance …
widespread concern around the world. The safety standards of LIBs are of great significance …
State of charge estimation for lithium-ion batteries based on cross-domain transfer learning with feedback mechanism
When the deep learning model is applied to estimate battery state of charge (SOC), the
information inside the training set cannot be leveraged thoroughly, which would cause poor …
information inside the training set cannot be leveraged thoroughly, which would cause poor …
[HTML][HTML] Battery electric vehicle charging in China: Energy demand and emissions trends in the 2020s
The transportation sector is the third-largest global energy consumer and emitter, making it a
focal point in the transition toward the net-zero future. To accelerate the decarbonization of …
focal point in the transition toward the net-zero future. To accelerate the decarbonization of …
[HTML][HTML] Key technologies for electric vehicles
Electric vehicles (EVs) are playing an increasingly important role in decarbonizing the
transportation sector. They constitute a promising solution to a set of global challenges such …
transportation sector. They constitute a promising solution to a set of global challenges such …
A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries
LiFePO 4 batteries are widely used in electric vehicles and energy storage due to their high
safety. However, their flat voltage characteristics in the middle state of charge (SOC) range …
safety. However, their flat voltage characteristics in the middle state of charge (SOC) range …
Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network
With the continuous concern on the safety of battery systems, accurate and rapid
assessment of battery degradation is essential for practical applications. In this paper, a …
assessment of battery degradation is essential for practical applications. In this paper, a …
Multi-level data-driven battery management: From internal sensing to big data utilization
A battery management system (BMS) is essential for the safety and longevity of lithium-ion
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …
Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions
The state of health (SOH) of batteries is an important but unmeasurable parameter closely
related to battery safety and durability. However, most existing SOH estimation strategies …
related to battery safety and durability. However, most existing SOH estimation strategies …