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A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares

Zizhou Lao, Bizhong Xia, Wei Wang, Wei Sun, Yongzhi Lai, Mingwang Wang
2018 Energies  
For model-based state of charge (SOC) estimation methods, the battery model parameters change with temperature, SOC, and so forth, causing the estimation error to increase.  ...  A joint algorithm based on FFRLS and the unscented Kalman filter (UKF) (FFRLS-UKF) that estimates the SOC with model parameters constantly updating was proposed, and the methods were verified by experiments  ...  Acknowledgments: This work was supported by the Shenzhen Science and Technology Project (Grant No. JCY20150331151358137). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en11061358 fatcat:hanau5o4fnbs5p5datevaec2me

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

Ruifeng Zhang, Bizhong Xia, Baohua Li, Libo Cao, Yongzhi Lai, Weiwei Zheng, Huawen Wang, Wei Wang
2018 Energies  
The filter algorithms based on the equivalent circuit model with fixed model parameters are often used to estimate the battery state.  ...  The first part is used to identify the parameters of the model with recursive least squares (RLS) on-line. The second part is used to estimate the battery state parameters with filter algorithms.  ...  [105] proposed a joint battery model and SOC estimation method based on the sigma point Kalman filter.  ... 
doi:10.3390/en11071820 fatcat:fr7htjyc3va7nbjkbvqemyp7mu

A Review of Recent Advances in Fractional-Order Sensing and Filtering Techniques

Cristina I. Muresan, Isabela R. Birs, Eva H. Dulf, Dana Copot, Liviu Miclea
2021 Sensors  
The basics of fractional-order filters are reviewed, with a focus on the popular fractional-order Kalman filter, as well as those related to sensing.  ...  The present study is a comprehensive review of the latest advances in fractional-order sensors and filters, with a focus on design methodologies and their real-life applicability reported in the last decade  ...  Fractional-Order Kalman Filter for Direct and Networked Measurements 2016 [87] State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model 2017 [124] A Modified Fractional-Order  ... 
doi:10.3390/s21175920 pmid:34502811 fatcat:jmbfxn3hkje27faxceeru3rxya

Estimation of Lithium-Ion Batteries State-Condition in Electric Vehicle Applications: Issues and State of the Art

Khaled Laadjal, Antonio J. Marques Cardoso
2021 Electronics  
Lithium-ion batteries are the most used these days for charging electric vehicles (EV).  ...  The estimation of batteries' parameters is a complex process, due to its dependence on various factors such as batteries age and ambient temperature, among others.  ...  In [110] , three common model-based filtering techniques, including Kalman Extended Filter (EKF), Kalman Unscented Filter (UKF), and Particle Filter (PF), are used to estimate SoC and their efficiency  ... 
doi:10.3390/electronics10131588 fatcat:74sk6rertjbuhomwnsby4rivhy

A Variational Bayes Based State-of-Charge Estimation for Lithium-Ion Batteries without Sensing Current

Jing Hou, Yan Yang, Tian Gao
2021 IEEE Access  
Then, the variational Bayes method is combined with the unscented Kalman filter to simultaneously estimate the SOC and the current input for the nonlinear lithium-ion battery system.  ...  .: A Variational Bayes Based State-of-Charge Estimation for Lithium-Ion Batteries without Sensing Current VOLUME 4, 2016 VOLUME 4, 2016 VOLUME 4, 2016 VOLUME 4, 2016  ... 
doi:10.1109/access.2021.3086861 fatcat:adfftnxvdvhh5kji5cik4xnyra

A New Method for State of Charge and Capacity Estimation of Lithium-Ion Battery Based on Dual Strong Tracking Adaptive H Infinity Filter

Zheng Liu, Xuanju Dang
2018 Mathematical Problems in Engineering  
Based on the identified ECM parameters and OCV, a dual adaptive H infinity filter (AHIF) combined with strong tracking filter (STF) is proposed to estimate battery SOC and capacity.  ...  As one of the most important features representing the operating state of power battery in electric vehicles (EVs), state of charge (SOC) and capacity estimation is a crucial assessment index in battery  ...  of charge BMS: Battery management system EVs: Electric vehicles OCV: Open-circuit voltage KF: Kalman filter EKF: Extended Kalman filter UKF: Unscented Kalman filter HIF: H infinity filter ECM: Equivalent  ... 
doi:10.1155/2018/5218205 fatcat:svgapm5ztnegtdz5jnlzkltoye

Online Parameter Identification of Lithium-Ion Batteries Using a Novel Multiple Forgetting Factor Recursive Least Square Algorithm

Bizhong Xia, Rui Huang, Zizhou Lao, Ruifeng Zhang, Yongzhi Lai, Weiwei Zheng, Huawen Wang, Wei Wang, Mingwang Wang
2018 Energies  
The model parameters of the lithium-ion battery are of great importance to model-based battery state estimation methods.  ...  A state of the art SOC estimator, known as the unscented Kalman filter (UKF), was combined with the online parameter identification to create an accurate estimation of SOC.  ...  Major steps of state of charge (SOC) estimation based on the unscented Kalman filter (UKF).  ... 
doi:10.3390/en11113180 fatcat:ojrffhxdhbalzhbcdaldqjaoqe

Lithium-Ion Battery Parameters and State of Charge Joint Estimation Using Bias Compensation Least Squares and the Alternate Algorithm

Wei Xiong, Yimin Mo, Cong Yan
2020 Mathematical Problems in Engineering  
For this purpose, the battery parameters and SOC joint estimation algorithm based on bias compensation least squares and alternate (BCLS-ALT) algorithm are proposed in this paper.  ...  logic between H-infinity filter (HIF) and ampere-hour integral (AHI) to improve the computational efficiency and accuracy.  ...  [25] , the combination of H-infinity and unscented Kalman filters for SOC estimation combines the advantages of the two algorithms.  ... 
doi:10.1155/2020/1757384 fatcat:7ajobd76c5dmznhsn5ngc6zdqm

Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

Muhammad Umair Ali, Amad Zafar, Sarvar Hussain Nengroo, Sadam Hussain, Muhammad Junaid Alvi, Hee-Je Kim
2019 Energies  
The accurate estimation of the state of charge (SOC) of a Li-ion battery is a very challenging task because the Li-ion battery is a highly time variant, non-linear, and complex electrochemical system.  ...  In EVs, a smart battery management system (BMS) is one of the essential components; it not only measures the states of battery accurately, but also ensures safe operation and prolongs the battery life.  ...  Conflicts of Interest: The authors declare no conflict of interest. Energies 2019, 12, 446  ... 
doi:10.3390/en12030446 fatcat:lwugu46npzclfhhuilyobho3sm

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

Zheng Liu, Xuanju Dang, Hanxu Sun
2018 Mathematical Problems in Engineering  
Based on the IARMA battery model analysis and the parameters identification, an SOC estimator by adaptive H-infinity filter (AHIF) is formulated.  ...  The state of charge (SOC) estimation is one of the most important features in battery management system (BMS) for electric vehicles (EVs).  ...  For example, the extended Kalman filter (EKF) algorithm is applied for Lithium-ion battery state estimation to obtain a desired resistance estimation result [23, 24] .  ... 
doi:10.1155/2018/7480602 fatcat:ahu5ahxsvfeo5deerlzklq2lzq

Application of Digital Twin in Smart Battery Management Systems

Wenwen Wang, Jun Wang, Jinpeng Tian, Jiahuan Lu, Rui Xiong
2021 Chinese Journal of Mechanical Engineering  
Furthermore, based on digital twin we describe the solutions for battery digital modeling, real-time state estimation, dynamic charging control, dynamic thermal management, and dynamic equalization control  ...  AbstractLithium-ion batteries have always been a focus of research on new energy vehicles, however, their internal reactions are complex, and problems such as battery aging and safety have not been fully  ...  Authors' contributions WW and RX conceived this study. WW, JT and JL write the manuscript. JW and RX supervised the study. All authors read and approved the final manuscript.  ... 
doi:10.1186/s10033-021-00577-0 fatcat:mbtn7kvuwzfbzd77c6cftvjddq

Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method

Zhongbao Wei, Feng Leng, Zhongjie He, Wenyu Zhang, Kaiyuan Li
2018 Energies  
The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems.  ...  The first group is called joint estimation, which lumps the OCV and model parameters in one state vector for joint estimation with advanced filters, such as recursive least squares (RLS) [30] and KF-based  ...  H-Infinity Filter (HIF) Compared with the well-known Kalman filtering (KF)-based methods, the HIF can better withstand modeling uncertainty and the estimation accuracy is not dependent on knowledge of  ... 
doi:10.3390/en11071810 fatcat:gtga77ycyrgllhixcb2t2f74yy

Online Parameter Identification and State of Charge Estimation of Battery Based on Multitimescale Adaptive Double Kalman Filter Algorithm

Wenxian Duan, Chuanxue Song, Yuan Chen, Feng Xiao, Silun Peng, Yulong Shao, Shixin Song, Baogui Xin
2020 Mathematical Problems in Engineering  
That is, the extended Kalman filter (EKF) is adopted to update the model parameters and the adaptive unscented Kalman filter (AUKF) is used to predict the battery SOC.  ...  An accurate state of charge (SOC) can provide effective judgment for the BMS, which is conducive for prolonging battery life and protecting the working state of the entire battery pack.  ...  INR 18650-20R lithium-ion battery is used as the experimental object.  ... 
doi:10.1155/2020/9502605 fatcat:zl7ev543vna6fmpnzncjhyjjhu

An Improved Bidirectional Gated Recurrent Unit Method for Accurate State-of-Charge Estimation

Zhaowei Zhang, Zhekang Dong, Huipin Lin, Zhiwei He, Minghao Wang, Yufei He, Xiang Gao, Mingyu Gao
2021 IEEE Access  
State-of-Charge (SOC) estimation of lithium-ion batteries have a great significance for ensuring the safety and reliability of battery management systems in electrical vehicle.  ...  Finally, two well-recognized lithium-ion batteries datasets from University of Maryland and McMaster University are applied to verify the validity of the research.  ...  [25] proposed a state-of-charge estimation model for a lithium-ion batteries using an improved extreme learning machine (ELM) algorithm.  ... 
doi:10.1109/access.2021.3049944 fatcat:ikznbca6nnafrjrh3cpqolcdae

A Novel Open Circuit Voltage Based State of Charge Estimation for Lithium-Ion Battery by Multi-Innovation Kalman Filter

Zheng Liu, Xuanju Dang, Benqin Jing
2019 IEEE Access  
INDEX TERMS Lithium-ion battery, state of charge, Kalman filter, multi-innovation, OCV compensation.  ...  Accurate state of charge (SOC) estimation is a fundamental guarantee for effective development of lithium-ion power battery in electric vehicles.  ...  The unscented Kalman filter (UKF) and unscented particle filter are utilized to estimate LIB SOC by the recursive unscented transformation approach without Taylor series expansion [19] , and the estimation  ... 
doi:10.1109/access.2019.2910882 fatcat:jnx3l27irjdd3pnjbprjtf5jym
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