All Outputs (3)

Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs. (2023)
Journal Article
WANG, S., JIA, X., TAKYI-ANINAKWA, P., STROE, D.-I. and FERNANDEZ, C. 2023. Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs. Journal of The Electrochemical Society [online], 170(5), article 050514. Available from: https://doi.org/10.1149/1945-7111/acd148

Lithium-ion batteries (LIBs) are used as energy storage systems due to their high efficiency. State of charge (SOC) estimation is one of the key functions of the battery management system (BMS). Accurate SOC estimation helps to determine the driving... Read More about Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs..

An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries. Journal of solid state electrochemistry [online], 27(9), pages 2277-2287. Available from: https://doi.org/10.1007/s10008-023-05514-w

For lithium-ion batteries, the state of charge (SOC) of batteries plays an important role in the battery management system, and the accuracy of the battery model and parameter identification is the basis of SOC estimation. Considering that the system... Read More about An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries..

Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. Corrosion engineering, science and technology [online], 58(3), pages 281-321. Available from: https://doi.org/10.1080/1478422X.2023.2180195

Detecting and monitoring of corrosion is one of the major challenges in insulated metallic structures, or structures with one or more than one interface. This review paper aims to consolidate scattered literature on laboratory system-based corrosion... Read More about Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities..