Recent advances in urban green energy development towards carbon emissions neutrality
Climate change is a significant long-term threat faced by humanity today. The urban energy
transformation from a carbon-emissions-intensive environment to a carbon-emissions-free …
transformation from a carbon-emissions-intensive environment to a carbon-emissions-free …
A Review of Expert Hybrid and Co-Estimation Techniques for SOH and RUL Estimation in Battery Management System with Electric Vehicle Application
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …
management system (BMS) is essential. The accurate estimation of the state of health (SOH) …
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Abstract Accurate SOH (State of Health) estimation is one of the key technologies to ensure
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
Intelligent estimation on state of health of lithium-ion power batteries based on failure feature extraction
H Zuo, J Liang, B Zhang, K Wei, H Zhu, J Tan - Energy, 2023 - Elsevier
In order to provide an accurate and reliable effective state-of-health (SOH) estimation, a
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …
A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
Unmanned aerial vehicles (UAVs) are becoming more popular as they start to be utilized in
many applications, such as surveillance, agriculture, and military. However, due to their …
many applications, such as surveillance, agriculture, and military. However, due to their …
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 …
A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging
Efficient battery health indicator (HI) extraction and accurate estimation method are two
important issues in the study of battery state of health (SOH) estimation. Although machine …
important issues in the study of battery state of health (SOH) estimation. Although machine …
[HTML][HTML] Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review
The future of transportation is moving toward electric vehicles (EVs), driven by the global
demand for sustainability. At the core of EV technology is the Battery Management System …
demand for sustainability. At the core of EV technology is the Battery Management System …
[HTML][HTML] Enhanced battery life prediction with reduced data demand via semi-supervised representation learning
Accurate prediction of the remaining useful life (RUL) is crucial for the design and
management of lithium-ion batteries. Although various machine learning models offer …
management of lithium-ion batteries. Although various machine learning models offer …
Mxenes for Zn-based energy storage devices: Nano-engineering and machine learning
Zn-based rechargeable energy devices showed more advantages, including safety,
abundance, and high volumetric/gravimetric capacities. MXenes have been evaluated as …
abundance, and high volumetric/gravimetric capacities. MXenes have been evaluated as …