Search Results - Adaptive forgetting factor recursive least square algorithm

A Remaining Useful Life Prediction of Supercapacitors Using Linear Empirical Model and Adaptive Forgetting Factor Recursive Least Square Algorithm

Authors: Huaizhi Zhang Yuejun Zhang Wei Xiang et al.

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery

Authors: Xiangdong Sun Jingrun Ji Biying Ren et al.

Source: Energies, Vol 12, Iss 12, p 2242 (2019)

Subject Terms: lithium-ion battery, equivalent circuit model, recursive least square, adaptive forgetting factor, parameter identification, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/12/12/2242; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/2386361de8784a10a8740452eb73ecc4

Lithium-ion Battery Model Parameter Identification Using Modified Adaptive Forgetting Factor-Based Recursive Least Square Algorithm

Authors: Saad Mekhilef Mohd Yamani Bin Idris Tey Kok Soon et al.

Source: 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia). :2169-2174

Subject Terms: 7. Clean energy

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9479079
http://xplorestaging.ieee.org/ielx7/9478968/9478971/09479079.pdf?arnumber=9479079

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

Authors: Chenyu Zhu Shunli Wang Chunmei Yu et al.

Source: Journal of Solid State Electrochemistry. 27:2277-2287

Subject Terms: Adaptive extended Kalman filtering, Lithium-ion battery, Proportional control, 8. Economic growth, State of charge, Monte Carlo, 7. Clean energy

Access URL: https://rgu-repository.worktribe.com/output/1966230

Online Adaptive Model Identification and State of Charge Estimation for Vehicle-Level Battery Packs

Authors: Wu, Xiaohua Shu, Junhao Fan, Zhanfeng et al.

Source: IEEE Transactions on Transportation Electrification. 10(1):596-607

Subject Terms: Computational modeling, Adaptive square root unscented Kalman filter, Equivalent circuit model, State of charge, Forgetting factor recursive least squares, Transportation, Covariance matrices, Estimation, Batteries, Integrated circuit modeling

Access URL: https://research.chalmers.se/publication/535987

An Adaptive State of Charge Estimation Method of Lithium-ion Battery Based on Residual Constraint Fading Factor Unscented Kalman Filter

Authors: Juqiang Feng Feng Cai Jing Yang et al.

Source: IEEE Access, Vol 10, Pp 44549-44563 (2022)

Subject Terms: cubic Hermite interpolation, Lithium-ion battery, residual constraint fading factor- unscented Kalman filter, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, state of charge estimation, 7. Clean energy, adaptive forgetting factor recursive least square, TK1-9971

Access URL: https://doaj.org/article/195c2e108b064ebb945dbc98baf81a40

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.

Source: 1432-8488; 1433-0768

Index Terms: Lithium-ion battery, State of charge, Monte Carlo, Adaptive extended Kalman filtering, Proportional control, Environment, Energy & Sustainability

URL: https://rgu-repository.worktribe.com/file/1966230/1/ZHO%202023%20An%20improved%20proportional%20%28AAM%29
https://rgu-repository.worktribe.com/output/1966230
https://rgu-repository.worktribe.com/output/1966230

A novel digital twin model based bio-heuristic sliding mode control algorithm for trajectory tracking control of USV in the presence of complex marine environment disturbance.

Authors: Dong, Zaopeng Lu, Sihang Hu, Zhihao et al.

Source: Robotics & Autonomous Systems. Jan2026, Vol. 195, pN.PAG-N.PAG. 1p.

Subject Terms: *DIGITAL twin, *SLIDING mode control, *NAVIGATION, *BOATS & boating, *RADIAL basis functions, *ADAPTIVE control systems, *ECOLOGICAL disturbances

A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations

Authors: Li, Bowen Wang, Shunli Fernandez, Carlos et al.

Source: Journal of Energy Storage. 40:102583

Subject Terms: Linear recursion algorithm, Lithium ion batteries, Electric vehicles, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Adaptive forgetting factor, State of power, 7. Clean energy, Fusion model, Recursive least square algorithm

Access URL: https://rgu-repository.worktribe.com/output/1346996/a-linear-recursive-state-of-power-estimation-method-based-on-fusion-model-of-voltage-and-state-of-charge-limitations
https://www.sciencedirect.com/science/article/pii/S2352152X21003285
https://rgu-repository.worktribe.com/output/1346996

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery.

Authors: Sun, Xiangdong Ji, Jingrun Ren, Biying et al.

Source: Energies (19961073); Jun2019, Vol. 12 Issue 12, p2242, 1p, 4 Diagrams, 2 Charts, 9 Graphs

Subject Terms: LITHIUM-ion batteries, ONLINE algorithms, LEAST squares, ELECTRIC vehicle batteries, PARAMETER identification, DYNAMIC testing

Variable recursive least square algorithm for online battery equivalent circuit model parameters identification for electric vehicles.

Authors: El Marghichi, Mouncef Loulijat, Azeddine El Hantati, Issam

Source: Electrical Engineering; Jun2024, Vol. 106 Issue 3, p2425-2445, 21p

Subject Terms: ONLINE algorithms, PARAMETER identification, LEAST squares, ELECTRIC circuits, LITHIUM cells

Company/Entity: SAMSUNG Group (Company)

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.

Authors: Zhu, Chenyu Wang, Shunli Yu, Chunmei et al.

Source: Journal of Solid State Electrochemistry; Sep2023, Vol. 27 Issue 9, p2277-2287, 11p

Subject Terms: KALMAN filtering, LITHIUM-ion batteries, STANDARD deviations, BATTERY management systems, PARAMETER identification, ALGORITHMS, LEAST squares

Adaptive Beamforming Using the Recursive Least Squares Algorithm on an FPGA

Authors: Bertheussen, Andreas Larsen, Bjørn B. Narverud, Erik et al.

Contributors: Bertheussen, Andreas Larsen, Bjørn B. Narverud, Erik et al.

Availability: http://hdl.handle.net/11250/2371535

基于改进初值带遗忘因子的递推最小二乘法的 锂电池参数辨识. (Chinese)

Alternate Title: Parameters identification of lithium battery based on forgetting factor recursive least square algorithm with improved initial value. (English)

Authors: 王 文 史华泽 岳雨霏 et al.

Source: Journal of Electric Power Science & Technology; Jul2024, Vol. 39 Issue 4, p178-186, 9p

Subject Terms: OPEN-circuit voltage, PARAMETER identification, LEAST squares, LITHIUM-ion batteries, ALGORITHMS

Non-uniform correction of infrared image based on adaptive forgetting factor recursive least square method.

Authors: Chenlong Guo Xining Liang Yixuan Liu

Source: Proceedings of SPIE; 1/19/2020, Vol. 11321, p1-6, 6p

Estimation of Lithium‐Ion Battery State of Charge for Electric Vehicles Using an Adaptive Joint Algorithm.

Authors: Sakile, Rajakumar Sinha, Umesh Kumar

Source: Advanced Theory & Simulations. Mar2022, Vol. 5 Issue 3, p1-15. 15p.

Subject Terms: *ELECTRIC charge, *LITHIUM-ion batteries, *KALMAN filtering, *RANDOM variables, *RANDOM noise theory, *ELECTRIC vehicles

Algoritmos adaptativos con estadística de alto orden. Identificación ciega de canales
Adaptive algorithms using higher-order statistics. Blind channel identification

Authors: Alameda Hernández, Enrique

Thesis Advisors: Universidad de Granada. Departamento de Física Aplicada, Carrión Pérez, María del Carmen, Ruiz Padillo, Diego Pablo

Subject Terms: Algoritmos adaptativos, Adaptive algorithms, Estadística de alto orden, Higher-order statistics, Algoritmo LMS, LMS algorithm, Algoritmo RLS, RLS algorithm, Sistemas lineales, Linear systems, Modelos MA, AR y ARMA, MA, AR and ARMA models, Algoritmo AOGLMS, AOGLMS algorithm

Access URL: http://hdl.handle.net/10481/15003

Algoritmos adaptativos con estadística de alto orden. Identificación ciega de canales
Adaptive algorithms using higher-order statistics. Blind channel identification

Authors: Alameda Hernández, Enrique

Thesis Advisors: Carrión Pérez, María del Carmen, Ruiz Padillo, Diego Pablo, Universidad de Granada. Departamento de Física Aplicada

Subject Terms: Algoritmos adaptativos, Adaptive algorithms, Estadística de alto orden, Higher-order statistics, Algoritmo LMS, LMS algorithm, Algoritmo RLS, RLS algorithm, Sistemas lineales, Linear systems, Modelos MA, AR y ARMA, MA, AR and ARMA models, Algoritmo AOGLMS, AOGLMS algorithm

Access URL: http://hdl.handle.net/10481/15003

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery

Authors: Xiangdong Sun Jingrun Ji Biying Ren et al.

Relation: https://www.mdpi.com/1996-1073/12/12/2242/pdf; https://www.mdpi.com/1996-1073/12/12/2242/

Availability: https://www.mdpi.com/1996-1073/12/12/2242/pdf
https://www.mdpi.com/1996-1073/12/12/2242/

Algoritmos adaptativos con estadística de alto orden. Identificación ciega de canales
Adaptive algorithms using higher-order statistics. Blind channel identification

Authors: Alameda Hernández, Enrique

Thesis Advisors: Carrión Pérez, María del Carmen, Ruiz Padillo, Diego Pablo, Universidad de Granada. Departamento de Física Aplicada

Subject Terms: Algoritmos adaptativos, Adaptive algorithms, Estadística de alto orden, Higher-order statistics, Algoritmo LMS, LMS algorithm, Algoritmo RLS, RLS algorithm, Sistemas lineales, Linear systems, Modelos MA, AR y ARMA, MA, AR and ARMA models, Algoritmo AOGLMS, AOGLMS algorithm

Access URL: http://hdl.handle.net/10481/15003