Results 221 to 230 of about 42,513 (262)
Some of the next articles are maybe not open access.
Energy management strategy of battery in isolated micro-grid based on state of charge(SOC)
2014 7th International Conference on Biomedical Engineering and Informatics, 2014Through the research on modeling and SOC estimation of the battery in the isolated Micro-grid, the behavior characteristics of the battery was analyzed under normal and stable operation, and further more, the condition was determined to guarantee the stability of system based on SOC of the battery.
Xin Li +4 more
openaire +1 more source
State of Charge (SoC) algorithm for Battery Management System (BMS)
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2022Rudrani Rajesh Thobde +2 more
openaire +1 more source
2021
Estimating the state of health (SOH) and state of charge (SOC) of Lithium-ion (Li-ion) batteries is crucial for lifetime and performance optimizations. Many existing online estimation methods are not practical in many applications as they may need offline training, take too much time for estimations, or need a full discharge or charge cycle for ...
openaire +1 more source
Estimating the state of health (SOH) and state of charge (SOC) of Lithium-ion (Li-ion) batteries is crucial for lifetime and performance optimizations. Many existing online estimation methods are not practical in many applications as they may need offline training, take too much time for estimations, or need a full discharge or charge cycle for ...
openaire +1 more source
Accurate state of charge (SOC) estimation for batteries using a reduced-order observer
2011 IEEE International Conference on Industrial Technology, 2011In this paper, we introduce an observer-based state of charge (SOC) estimator for batteries. The estimation strategy is based on the battery's state space model. This representation makes stability analysis easier for the proposed estimation technique.
Hicham Chaoui, Pierre Sicard
openaire +1 more source
This paper presents two models for lithiumion battery SOC and SOH estimation using a Toyota Research Institute dataset. A Random Forest Regressor predicts SOH after 10 cycles, while an LSTM neural network estimates real-time SOC. Both models show high accuracy, contributing to advanced health-aware energy management in electric vehicles.
Wang, Xuelu +3 more
openaire +1 more source
Wang, Xuelu +3 more
openaire +1 more source
State-of-Charge (SoC) Management of PTES Coupled Industrial Cogeneration Systems
Volume 8: Heat Transfer: Internal Air Systems; Heat Transfer: Internal Cooling; Industrial and CogenerationAbstract We present a novel optimization-based state-of-charge (SoC) management solution for pumpedthermal energy storage (PTES) systems capable of charging and discharging with electrical power and discharging high temperature heat — for integration with industrial processes.
Alp Albay +2 more
openaire +1 more source
Transforming Battery Management: Utilizing Machine Learning for State of Charge (SoC) Prediction
International Journal of Drug Delivery TechnologyThe emergence of electric vehicles (EVs) has revolutionized the automotive sector, notably through the adoption of battery management systems (BMS) to ensure their safe and efficient operation. Central to these systems is the State of Charge (SOC), a critical indicator of stored energy within batteries.
Vrushali Waghmare +4 more
openaire +1 more source
Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles
Energies, 2021Jacob Joseph Lamb +2 more
exaly