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Insights and reviews on battery lifetime prediction from research to practice
The rising demand for energy storage solutions, especially in the electric vehicle and
renewable energy sectors, highlights the importance of accurately predicting battery health …
renewable energy sectors, highlights the importance of accurately predicting battery health …
Strategies for reducing automobile fuel consumption
In recent times, the significance of advancing road transportation technologies has notably
increased. This is mainly driven by the escalating need for road transportation systems that …
increased. This is mainly driven by the escalating need for road transportation systems that …
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 …
Advancing state of charge management in electric vehicles with machine learning: A technological review
As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …
Exploiting domain knowledge to reduce data requirements for battery health monitoring
Rechargeable batteries are becoming increasingly significant in decarbonising the world.
For their widespread usage, to monitor and predict the battery health status has been …
For their widespread usage, to monitor and predict the battery health status has been …
Dynamic cycling enhances battery lifetime
Laboratory ageing campaigns elucidate the complex degradation behaviour of most
technologies. In lithium-ion batteries, such studies aim to capture realistic ageing …
technologies. In lithium-ion batteries, such studies aim to capture realistic ageing …
Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives
Diagnosing lithium-ion battery health and predicting future degradation is essential for
driving design improvements in the laboratory and ensuring safe and reliable operation over …
driving design improvements in the laboratory and ensuring safe and reliable operation over …
Multi-year field measurements of home storage systems and their use in capacity estimation
Home storage systems play an important role in the integration of residential photovoltaic
systems and have recently experienced strong market growth worldwide. However …
systems and have recently experienced strong market growth worldwide. However …
Electrochemical characterization tools for lithium-ion batteries
Lithium-ion batteries are electrochemical energy storage devices that have enabled the
electrification of transportation systems and large-scale grid energy storage. During their …
electrification of transportation systems and large-scale grid energy storage. During their …
[HTML][HTML] Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data
K Nakano, S Vögler, K Tanaka - Advances in Applied Energy, 2024 - Elsevier
The widespread adoption of electric vehicles (EVs) underscores the urgent need for
innovative approaches to estimate their lithium-ion batteries' state of health (SOH), which is …
innovative approaches to estimate their lithium-ion batteries' state of health (SOH), which is …