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An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Dataset
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset].

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. (2024)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. Journal of energy storage [online], 88, article number 111552. Available from: https://doi.org/10.1016/j.est.2024.111552

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles..

Large scoping reviews: managing volume and potential chaos in a pool of evidence sources. (2024)
Journal Article
ALEXANDER, L., COOPER, K., PETERS, M.D.J., TRICCO, A.C., KHALIL, H., EVANS, C., MUNN, Z., PIEPER, D., GODFREY, C.M., MCINERNEY, P. and POLLOCK, D. [2024]. Large scoping reviews: managing volume and potential chaos in a pool of evidence sources. Journal of clinical epidemiology [online], Articles in Press. Available from: https://doi.org/10.1016/j.jclinepi.2024.111343

Scoping reviews can identify a large number of evidence sources. This commentary describes and provides guidance on planning, conducting, and reporting large scoping reviews. This guidance is informed by experts in scoping review methodology, includi... Read More about Large scoping reviews: managing volume and potential chaos in a pool of evidence sources..

Techno-economic feasibility study of solar photovoltaic power plant using RETScreen to achieve Indonesia energy transition. (2024)
Journal Article
PARADONGAN, H.T., HAKAM, D.F., WIRYONO, S.K., PRAHASTONO, I., ADITYA, I.A., BANJARNAHOR, K.M., SINISUKA, N.I. and ASEKOMEH, A. 2024. Techno-economic feasibility study of solar photovoltaic power plant using RETScreen to achieve Indonesia energy transition. Heliyon [online], 10(7), article number e27680. Available from: https://doi.org/10.1016/j.heliyon.2024.e27680

Indonesia, a key player in the global energy transition, faces surging electricity demand and ambitious renewable energy goals. In response, the government introduced a new regulation about renewable energy tariffs, including tariffs for photovoltaic... Read More about Techno-economic feasibility study of solar photovoltaic power plant using RETScreen to achieve Indonesia energy transition..

State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. (2024)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2024. State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. Electrochimica acta [online], 487, article number 144146. Available from: https://doi.org/10.1016/j.electacta.2024.144146

The accurate state of health (SOH) estimation of lithium-ion batteries (LIBs) is crucial for the operation and maintenance of new energy electric vehicles. To address this current problem, an improved hybrid neural network model for SOH prediction ba... Read More about State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model..