[HTML][HTML] China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs
Developing new energy vehicles has been a worldwide consensus, and developing new
energy vehicles characterized by pure electric drive has been China's national strategy …
energy vehicles characterized by pure electric drive has been China's national strategy …
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 …
Flexible battery state of health and state of charge estimation using partial charging data and deep learning
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …
intelligent battery management systems. This study proposes a flexible method using only …
Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …
operations of lithium-ion batteries. The recent development in deep learning provides an …
Spent lithium ion battery (LIB) recycle from electric vehicles: A mini-review
Electrifying transportation through the large-scale implementation of electric vehicles (EVs)
is an effective route for mitigating urban atmospheric pollution and greenhouse gas …
is an effective route for mitigating urban atmospheric pollution and greenhouse gas …
Impact of battery electric vehicle usage on air quality in three Chinese first-tier cities
China, the world leader in automobile production and sales, confronts the challenge of
transportation emissions, which account for roughly 10% of its total carbon emissions. This …
transportation emissions, which account for roughly 10% of its total carbon emissions. This …
A battery capacity estimation framework combining hybrid deep neural network and regional capacity calculation based on real-world operating data
Efficient battery capacity estimation is of utmost importance for safe and reliable operations
of electric vehicles (EVs). This article proposes a battery capacity estimation framework …
of electric vehicles (EVs). This article proposes a battery capacity estimation framework …
Grid-vehicle-grid (G2V2G) efficient power transmission: an overview of concept, operations, benefits, concerns, and future challenges
Electric vehicles (EVs) are proportionally increasing day-by-day with the inclusion of
upgraded technology toward considered zero carbon emission efforts. To mitigate …
upgraded technology toward considered zero carbon emission efforts. To mitigate …
Large-scale field data-based battery aging prediction driven by statistical features and machine learning
Accurately predicting battery aging is critical for mitigating performance degradation during
battery usage. While the automotive industry recognizes the importance of utilizing field data …
battery usage. While the automotive industry recognizes the importance of utilizing field data …
Battery health evaluation using a short random segment of constant current charging
Accurately evaluating the health status of lithium-ion batteries (LIBs) is significant to
enhance the safety, efficiency, and economy of LIBs deployment. However, the complex …
enhance the safety, efficiency, and economy of LIBs deployment. However, the complex …