An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries.

Wu, Fan; Wang, Shunli; Cao, Wen; Long, Tao; Liang, Yawen; Fernandez, Carlos

doi:10.1002/cta.3624

High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering. (2023)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2023. High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering. Journal of solid state electrochemistry [online], 27(12), pages 3293-3306. Available from: https://doi.org/10.1007/s10008-023-05594-8

Accurate online estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries are essential for efficient and reliable energy management of new energy electric vehicles (EVs). To improve the accuracy and stability of the... Read More about High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering..

Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys. (2023)
Journal Article
YANG, M., FENG, J., HU, H., NIU, T., GAO, W., ZOU, G., FERNANDEZ, C., REN, L. and PENG, Q. 2023. Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys. Journal of alloys and compounds [online], 966, article ID 171543. Available from: https://doi.org/10.1016/j.jallcom.2023.171543

High anti-corrosion Mg alloys is desirable to expand their industrial applications. Herein we report an outstanding corrosion resistance of dual-phase Mg-8Li-Y alloy using ultrahigh pressure (UHP) technology. The average corrosion rate is ~0.47 mm/y,... Read More about Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys..

An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries. (2023)
Journal Article
SHEN, X., WANG, S., YU, C., QI, C., LI, Z. and FERNANDEZ, C. 2023. An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries. Journal of The Electrochemical Society [online], 170(7), article 070522. Available from: https://doi.org/10.1149/1945-7111/ace555

The precise assessment of the state of charge (SOC) of lithium-ion batteries (LIBs) is critical in battery management systems. This work offers a comprehensive learning particle swarm optimization (CLPSO) and extended Kalman filter (EKF) technique to... Read More about An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries..

A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. (2023)
Journal Article
WANG, J., GAO, Y., LIU, D., ZOU, G., LI, L., FERNANDEZ, C., ZHANG, Q., and PENG, Q. 2024. A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. Advanced materials [online], 36(11), article 2304942. Available from: https://doi.org/10.1002/adma.202304942

Sodium (Na) batteries are being considered as prospective candidates for the next generation of secondary batteries in contrast to lithium-based batteries, due to their high raw material abundance, low cost, and sustainability. However, the unfavorab... Read More about A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries..

An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. (2023)
Journal Article
HAO, X., WANG, S., FAN, Y., LIANG, Y., WANG, Y. and FERNANDEZ, C. 2023. An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. Journal of The Electrochemical Society [online], 170(7), article 070507. Available from: https://doi.org/10.1149/1945-7111/acdf8a

Accurate prediction of the remaining range remains a challenge for electric vehicles. The state of energy (SOE) is a state parameter representing the remaining mileage and remaining charge of a lithium-ion battery, which is related to the prediction... Read More about An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation..

An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., LI, H., YANG, X. and FERNANDEZ, C. 2023. An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. Journal of energy storage [online], 70, article 108098. Available from: https://doi.org/10.1016/j.est.2023.108098

Safe and reliable operations of lithium-ion batteries in electric vehicles (EVs), etc., highly depend on the accurate state of charge (SOC) estimated by the battery management system (BMS). However, due to the battery's nonlinear operating conditions... Read More about An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries..

State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. (2023)
Journal Article
LIU, D., WANG, S., FAN, Y., LIANG, Y., FERNANDEZ, C., STROE, D.I. 2023. State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. Journal of energy storage [online], 70, article 108040. Available from: https://doi.org/10.1016/j.est.2023.108040

As the main energy storage component of electric vehicles (EV), lithium-ion battery state estimation is an essential part of the battery management system (BMS). State of Energy (SOE) is one of the important state parameters, and its accurate estimat... Read More about State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature..

High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. (2023)
Journal Article
YANG, J., WANG, S., CHEN, L., QIAO, J., FERNANDEZ, C. and GUERRERO, J.M. 2023. High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(6), article 060527. Available from: https://doi.org/10.1149/1945-7111/acd815

Accurate state of charge (SOC) estimation is an important basis for battery energy management and the applications of lithium-ion batteries. In this paper, an improved compression factor particle swarm optimization-forgetting factor recursive least s... Read More about High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering..

An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. (2023)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., LIU, K. and FERNANDEZ, C. 2023. An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of energy storage [online], 70, article 108038. Available from: https://doi.org/10.1016/j.est.2023.108038

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an impr... Read More about An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics..

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. (2023)
Journal Article
ZHANG, M., WANG, S., XIE, Y., YANG, X., HAO, X. and FERNANDEZ, C. 2023. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. Ionics [online], 29(9), pages 3597-3607. Available from: https://doi.org/10.1007/s11581-023-05072-1

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of s... Read More about Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries..

Investigation of wave propagation pattern in a multilayer planar structure. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Investigation of wave propagation pattern in a multilayer planar structure. e-Journal of nondestructive testing [online], Special Issue NDE-Nuclear-2023: proceedings of the 2nd Non-destructive examination in nuclear international conference (NDE in Nuclear 2023), 27-29 June 2023, Sheffield, UK, article number 28270. Available from: https://www.ndt.net/search/docs.php3?id=28270

Acoustic emission (AE) is used to monitor conditions of various structures across many industrial sectors, including containment vessels or storage tanks of nuclear materials. Periodic monitoring, inspection and analysis of structure conditions can h... Read More about Investigation of wave propagation pattern in a multilayer planar structure..

A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., XIAO, Y. and FERNANDEZ, C. 2023. A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries. Journal of energy storage [online], 68, article 107728. Available from: https://doi.org/10.1016/j.est.2023.107728

Due to the high nonlinearities and unstable working conditions, accurately estimating the state of charge (SOC) by the battery management system (BMS) is a major challenge in ensuring the safety and reliability of lithium-ion batteries in electric ve... Read More about A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries..

High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. (2023)
Journal Article
FENG, R., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(5), article 050539. Available from: https://doi.org/10.1149/1945-7111/acd303

It is significant to improve the accuracy of estimating the state of charge (SOC) of lithium-ion batteries under different working conditions on urban roads. In this study, an improved second-order polarized equivalent circuit (SO-PEC) modeling metho... Read More about High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering..

An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
LIANG, Y., WANG, S., FAN, Y., TAKYI-ANINAKWA, P., XIE, Y. and FERNANDEZ, C. 2023. An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. Journal of energy storage [online], 68, article 107629. Available from: https://doi.org/10.1016/j.est.2023.107629

Accurate state-of-charge (SOC) estimation is essential for fully utilizing the battery performance of electric vehicles. Considering the demand for algorithms with the advantages of simplicity, fewer calculations, good stability, and high accuracy in... Read More about An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries..

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..

Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. (2023)
Journal Article
XIE, Y., WANG, S., ZHANG, C., FAN, Y., FERNANDEZ, C. and GUERRERO, J.M. 2023. Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. Journal of energy storage [online], 67, article 107597. Available from: https://doi.org/10.1016/j.est.2023.107597

Electric vehicles, as a new green mode of transportation, have put forward higher demand indicators for accurate modeling and efficient parameter identification strategies for lithium-ion batteries. In this paper, a lumped electrical characteristic m... Read More about Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect..

A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H., FERNANDEZ, C. and WANG, Y. 2023. A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. Journal of energy storage [online], 67, article number 107576. Available from: https://doi.org/10.1016/j.est.2023.107576

The estimation of State of Charge (SoC) and State of Power (SoP) of lithium-ion batteries is an important part of battery management system. For the purpose of obtaining high-precision SoC and SoP estimation results, this paper proposes a novel M-1 s... Read More about A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries..

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..

Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., XIAO, Y. and FERNANDEZ, C. 2023. Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Journal of energy storage [online], 66, article number 107495. Available from: https://doi.org/10.1016/j.est.2023.107495

Due to their high energy density and minimal emissions, lithium-ion batteries are frequently employed in electric vehicles (EVs). Accurate estimation of the micro-parameters, state of charge (SOC), and state of health (SOH) are a few primary monitori... Read More about Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties..

An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. (2023)
Journal Article
WU, F., WANG, S., CAO, W., LONG, T., LIANG, Y. and FERNANDEZ, C. 2023. An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. International journal of circuit theory and applications [online], 51(8), pages 3880-3896. Available from: https://doi.org/10.1002/cta.3624

State of charge and state of energy are essential performance indicators of the battery management system and the key to reflecting the remaining capacity of batteries. Aiming at the problems of low precision, long time, and strongly nonlinear system... Read More about An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries..

All Outputs (238)