Towards long lifetime battery: AI-based manufacturing and management
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …
only contribute to decarbonization such as transportation electrification, smart grid, but also …
[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …
component of the power supply system and accurate remaining useful life prediction is the …
Multistage state of health estimation of lithium-ion battery with high tolerance to heavily partial charging
State of health (SOH) is critical to the management of lithium-ion batteries (LIBs) due to its
deep insight into health diagnostic and protection. However, the lack of complete charging …
deep insight into health diagnostic and protection. However, the lack of complete charging …
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
MY Arafat, MJ Hossain, MM Alam - Renewable and Sustainable Energy …, 2024 - Elsevier
Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …
identifying potential equipment failures in advance, reducing downtime, and increasing the …
Charging optimization for Li-ion battery in electric vehicles: A review
Battery electric vehicles (BEVs) are advocated due to their environmental benign
characteristic. However, the long charging time and the degradation caused by fast charging …
characteristic. However, the long charging time and the degradation caused by fast charging …
Load current and state-of-charge coestimation for current sensor-free lithium-ion battery
The installation of current sensors on lithium-ion batteries (LIBs) can be challenging due to
practical constraints in specific applications like portable electronics and smart batteries …
practical constraints in specific applications like portable electronics and smart batteries …
Screening of retired batteries with gramian angular difference fields and ConvNeXt
With the rapid development of electric vehicles, the second usage of retired batteries
becomes a key issue. The accuracy of existing screening methods for retired batteries is …
becomes a key issue. The accuracy of existing screening methods for retired batteries is …
Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization
The electrochemical model parameters of a lithium-ion battery are important indicators of its
state-of-health, and many previous studies have proposed methods for identifying them …
state-of-health, and many previous studies have proposed methods for identifying them …
A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
Battery energy storage system (BESS) has been widely used for the expansion of the
electricity grid. Accurate state of charge (SOC) estimation of BESS is essential for ensuring …
electricity grid. Accurate state of charge (SOC) estimation of BESS is essential for ensuring …
Implementing an extended Kalman filter for SoC estimation of a Li-ion battery with hysteresis: A step-by-step guide
B Rzepka, S Bischof, T Blank - Energies, 2021 - mdpi.com
The growing share of renewable energies in power production and the rise of the market
share of battery electric vehicles increase the demand for battery technologies. In both fields …
share of battery electric vehicles increase the demand for battery technologies. In both fields …