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Estimation of State of Charge of Lithium-Ion Batteries Used in HEV Using Robust Extended Kalman Filtering

Caiping Zhang, Jiuchun Jiang, Weige Zhang, Suleiman M. Sharkh
2012 Energies  
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs).  ...  SOC estimates using the standard EKF are compared with the proposed robust EKF algorithm to demonstrate the accuracy and precision of the latter for SOC estimation.  ...  Acknowledgments The work was supported by the National High Technology Research and Development Program of China (No. 2011AA05A108) and National Natural Science Foundation of China (No. 71041025).  ... 
doi:10.3390/en5041098 fatcat:aeslc5qswjh6jfmul2jztgayom

A study on load sensitive power generation in Hybrid Renewable Energy system using Evolutionary Algorithms based -Energy Management System control

Anindita Das Mondal, Dr. Nasim Ali Khan, Asif Ikbal
2020 Zenodo  
On the contrary, exponentially rising demand in power requirements have put curves over the head of industries as well as governing agencies to enable optimal power supply for meeting the demands.  ...  Realizing cost efficient and reliable power supply, integration of different RESs have gained immense attention globally, thus giving rise to a new power system concept named Hybrid RES (HRES) System.  ...  Heuristic algorithm such as the Genetic Algorithm (GA), Particle Swarm Optimization, Ant Colony Optimization (ACO), etc. have been applied for PID gain parameter estimation to be used in EMS control.  ... 
doi:10.5281/zenodo.5665484 fatcat:ap22jre4pvey3kowexhshab7cq

A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation

Yongcun Fan, Haotian Shi, Shunli Wang, Carlos Fernandez, Wen Cao, Junhan Huang
2021 Energies  
This paper aims to improve the stability and robustness of the state-of-charge estimation algorithm for lithium-ion batteries.  ...  In addition, for benignization of outliers of the two above-mentioned algorithms, a new dual Kalman algorithm is proposed in this paper by adding a transfer function and through weighted mutation.  ...  F. would like to express his gratitude to RGU for  ... 
doi:10.3390/en14082268 fatcat:zysewtranjcc5p3q6yfs5qdnre

Robustness of SOC Estimation Algorithms for EV Lithium-Ion Batteries against Modeling Errors and Measurement Noise

Xue Li, Jiuchun Jiang, Caiping Zhang, Le Yi Wang, Linfeng Zheng
2015 Mathematical Problems in Engineering  
This paper is a comparative study of robustness of SOC estimation algorithms against modeling errors and measurement noises.  ...  State of charge (SOC) is one of the most important parameters in battery management system (BMS).  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2015/719490 fatcat:cmz64xrrirdbrmf755vkdgmtsu

Attractive Ellipsoid Sliding Mode Observer Design for State of Charge Estimation of Lithium-ion Cells [article]

Anirudh Nath, Raghvendra Gupta, Rohit Mehta, Supreet Singh Bahga, Amit Gupta, Shubhendu Bhasin
2020 arXiv   pre-print
This work investigates the real-time estimation of the state-of-charge (SoC) of Lithium-ion (Li-ion) cells for reliable, safe and efficient utilization.  ...  The main advantage of the proposed observer is to provide a fast and optimal SoC estimate based on minimization over the uncertainty bound.  ...  of Li-ion cells such as the state of charge (SoC), state of health, and energy density, etc  ... 
arXiv:2008.06871v1 fatcat:avbtxchc4rcibc2qdhk6eyamgm

Scanning the Issue*

2017 IEEE Transactions on Automatic Control  
A systematic design methodology for state observers for a large class of nonlinear systems with bounded exogenous inputs is proposed.  ...  LMIs are developed to construct observer gains ensuring that a performance output based on the state estimation error satisfies a prescribed degree of accuracy.  ...  Robust Online Algorithms for Peak-Minimizing EV Charging Under Multistage Uncertainty S. Zhao, X. Lin, and M.  ... 
doi:10.1109/tac.2017.2758058 fatcat:menj6pkrtbh45gyglgh3qrgspy

Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries

Haotian Shi, Shunli Wang, Carlos Fernandez, Chunmei Yu, Xiaoxia Li, Chuanyun Zou
2020 Measurement and control (London. 1968)  
When using unscented Kalman filtering to estimate the charge of lithium-ion batteries, if the pulse current change rate is too high, the tracking effects of algorithms will not be optimal, with high estimation  ...  In lithium-ion batteries, the accuracy of estimation of the state of charge is a core parameter which will determine the power control accuracy and management reliability of the energy storage systems.  ...  A method for estimating the SOC of a LiB considering capacity attenuation is proposed. 14 The OCV and charging state function of no-load LiBs are optimized. 15 The parameter identification method of  ... 
doi:10.1177/0020294020923057 fatcat:7v63awk2nza25euoc3bgs7lkt4

IEEE Access Special Section Editorial: Battery Energy Storage and Management Systems

Xiaosong Hu, Loic Boulon, Suleiman Sharkh, Chao Hu, Nicholas Dane Williard, Yinjiao Xing, Rui Xiong
2020 IEEE Access  
In "State of charge estimation of battery energy storage systems based on adaptive unscented Kalman Filter with a noise statistics estimator," by Peng et al., based on a noise  ...  As a core functionality in BMSs, various estimation algorithms have been proposed to continually improve the accuracy and robustness of SOC estimation in complicated operational conditions.  ...  In ''Robustness evaluation of extended and unscented Kalman Filter for battery state of charge estimation,'' by Huang et al., the robustness of several model-based SOC estimation observers, i.e., EKF and  ... 
doi:10.1109/access.2020.3007061 fatcat:xuokatf2ojcxnpitxualkytc3i

A Novel Dual Correction Extended Kalman Filtering Algorithm for The State of Charge Real-Time Estimation of Packing Lithium-Ion Batteries

HaoTian Shi, School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
2020 International Journal of Electrochemical Science  
CF would like to express his gratitude to RGU for its support.  ...  algorithm for SOC estimation is within 1%, which is suitable for high-power lithium State estimation of ion battery pack.  ...  of the battery, which laid a foundation for the subsequent parameter identification and accurate estimation of the battery state.  ... 
doi:10.20964/2020.12.52 fatcat:ifhda24gtzar7i5be7cepmccee

A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter

Shichun Yang, Sida Zhou, Yang Hua, Xinan Zhou, Xinhua Liu, Yuwei Pan, Heping Ling, Billy Wu
2021 Scientific Reports  
AbstractAn accurate state of charge (SOC) estimation in battery management systems (BMS) is of crucial importance to guarantee the safe and effective operation of automotive batteries.  ...  practicability for extending to state estimation of battery packs applied in real-world operating conditions.  ...  Acknowledgements This work is supported by the National Key R&D Program of China (2018YFB0104400).  ... 
doi:10.1038/s41598-021-84729-1 pmid:33707575 fatcat:7luz4d4pvrgbfp3jyoxqcyzkmi

A Novel Adaptive Particle Swarm Optimization Algorithm Based High Precision Parameter Identification and State Estimation of Lithium-Ion Battery

Mingfang He, School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
2021 International Journal of Electrochemical Science  
This data is used as the terminal voltage comparison for updating the state of charge estimation.  ...  as to realize accurate state of charge estimation.  ... 
doi:10.20964/2021.05.55 fatcat:icipidhchnfmvn5at3fneog2ke

Research on Parameter Self-Learning Unscented Kalman Filtering Algorithm and Its Application in Battery Charge of State Estimation

Fang Liu, Jie Ma, Weixing Su, Hanning Chen, Maowei He
2020 Energies  
We apply the combination algorithm proposed in this paper for state of charge (SoC) estimation of power batteries and compare it with other model parameter identification algorithms and SoC estimation  ...  A novel state estimation algorithm based on the parameters of a self-learning unscented Kalman filter (UKF) with a model parameter identification method based on a collaborative optimization mechanism  ...  For many AF algorithms, the Kalman filter (KF) algorithm is a method for the state estimation of linear dynamic systems.  ... 
doi:10.3390/en13071679 fatcat:m2der63wqze4de3emiot374szy

Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

Ingvild B. Espedal, Asanthi Jinasena, Odne S. Burheim, Jacob J. Lamb
2021 Energies  
Battery management systems (BMSs) are vital components in ESS systems for Lithium-ion batteries (LIBs). One parameter that is included in the BMS is the state-of-charge (SoC) of the battery.  ...  SoC estimation is a key BMS feature, and precise modeling and state estimation will improve stable operation. This review discusses current methods use in BEV LIB SoC modelling and estimation.  ...  Alternatively, non-integer model derivatives with a particle swarm optimization algorithm can be used to classify model constraints with strong accuracy and robustness [32] .  ... 
doi:10.3390/en14113284 fatcat:w2kyybjdfjcsdmvgvqikpqzkb4

Linearized Discrete Charge Balance Control with Simplified Algorithm for DCM Buck Converter

Run Min, Dian Lyu, Shuai Cheng, Yingshui Sun, Linkai Li
2019 Energies  
However, as a non-linear control strategy, the algorithm is complex, which is difficult for implementation.  ...  In this paper, a linearized discrete charge balance (LDCB) control strategy is proposed for buck converter operating in discontinuous conduction mode (DCM).  ...  Acknowledgments: This work is supported by Huazhong University of Science and Technology. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en12163177 fatcat:iwsi63pb3jaopalcky4puxmtce

2019 Index IEEE Transactions on Control of Network Systems Vol. 6

2019 IEEE Transactions on Control of Network Systems  
., +, TCNS March 2019 115-126 Cooperative Semiglobal Robust Output Regulation of Non-Introspective Nonlinear Agents With Partial Normal Form and State-Dependent High-Frequency Gain.  ...  ., +, TCNS Dec. 2019 1323-1333 Cooperative Semiglobal Robust Output Regulation of Non-Introspective Nonlinear Agents With Partial Normal Form and State-Dependent High-Frequency Gain.  ... 
doi:10.1109/tcns.2020.2967203 fatcat:y7saxrrnzvgxjmzz2vrl62ranu
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