State of charge estimation of power Li-ion batteries using a hybrid estimation algorithm based on UKF

He, Zhixia; Dong, Chaoyu; Pan, Chaofeng; Chen, Long; Wang, Shaohua

doi:10.1016/j.electacta.2016.06.042

Cited by 50 publications

(7 citation statements)

References 26 publications

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“…Where the solutions of 1  and 2  are based on equation The parameters of the improved Thevenin model at each SOC can be determined by the terminal voltage response at corresponding SOCs. (…”

Section: 2 Bp Algorithmmentioning

confidence: 99%

“…Under the background of global energy shortage, the overall gasoline price has been kept rising since 1929. was almost two times than 20 years ago. In recent years, the pure electric vehicle becomes a popular study filed because of above reason and its high economic efficiency and lower environmental pollution [1]. Considering battery is the best power source for the next generation vehicle, and the accurate estimation of the battery performance is critical technic for the electronic vehicle operation [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

State-of-Charge Estimation of the Lithium-Ion Battery Using Neural Network Based on an Improved Thevenin Circuit Model

Zhang

Kim

2018

2018 IEEE Transportation Electrification Conference and Expo (ITEC)

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Section: 2 Bp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

State-of-Charge Estimation of the Lithium-Ion Battery Using Neural Network Based on an Improved Thevenin Circuit Model

Zhang

Kim

2018

2018 IEEE Transportation Electrification Conference and Expo (ITEC)

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“…However, due to variations in manufacturing processes and operational circumstances, there are inconsistencies in the parameters, such as the capacity and internal resistance among cells [2], [3]. It's therefore that the battery pack's performance is limited by the weakest cell [4], and extra passive or active balancing circuits are required in conventional battery management systems (BMSs) to improve the battery pack's performance [3]. However, these balancing circuits typically have a slow balancing speed to reduce cost and volume [5], and there is additional energy lost during the equalization processes.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical State-of-Charge Balancing and Second-Harmonic Current Suppressing Control With a Scalable DC Reconfigurable Battery Pack

Chen,

Liu,

Zhang

et al. 2024

IEEE Trans. Power Electron.

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This paper develops a scalable dc reconfigurable battery pack (RBP) and the accompanying hierarchical balancing algorithm. The battery cells in the RBP are divided into several modules, and each module is equipped with a slave controller that is only responsible for a subset of cells. The system controller performs the closed-loop control and allocates the desired voltage steps into battery modules. The hierarchical algorithm significantly reduces communication and computation requirements for large-scale applications. Moreover, considering the second-harmonic current (SHC) widely existing in a single-phase dc/ac system, which may induce the aging of battery cells, the dc RBP is used to suppress the SHC for the first time without an additional central dc/dc converter. Due to the high output voltage quality and lowfrequency operation of the dc RBP, the filter size can be significantly reduced and the efficiency of the system can be improved. Experimental validation of the proposed control scheme is presented using a dc RBP containing 48 3-Ah 18650 lithium-ion cells. Experimental results show that the proposed method can effectively balance battery cells and suppress the SHC.

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“…At present, with the application of ground-based pseudobase station positioning system in more and more scenes, in order to obtain positioning more accurately, relevant experts and scholars have done a lot of research on its coverage and geometric spatial layout. For example, in references [1,2] based on square root UKF algorithm, the tracking and positioning ability of pseudolites is improved by optimizing the spatial layout of pseudolites. In references [3,4] based on initial value filtering algorithm and second-order digital filter, GNSS assists pseudolite system positioning system to improve system signal coverage.…”

Section: Introductionmentioning

confidence: 99%

Research on the Station Layout Method of Ground‐Based Pseudolite Positioning System Based on NSGA‐II Algorithm

Yang

Sun

2021

Wireless Communications and Mobile Computing

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Given the problem that the existing method of station distributing the pseudosatellite system cannot ensure both its coverage and position in a situation of signal occlusion, it proposed a new stationary layout method with an elite strategy for a ground-based pseudosatellite positioning system based on the elite strategy of the nondominant genetic rankings (NSGA-II). The geometrical design of the pseudosatellite system is calculated by visual domain analysis and precision factors for the signal coverage age and base station. To optimize the algorithm, the NSGA-II algorithm is used. An earth pseudosatellite positioning system method of stationary distribution is obtained that simultaneously optimizes signal coverage and positioning accuracy. The algorithm is better distributed and has a certain superintendence compared with the traditional genetic algorithm.

show abstract

State of charge estimation of power Li-ion batteries using a hybrid estimation algorithm based on UKF

Cited by 50 publications

References 26 publications

State-of-Charge Estimation of the Lithium-Ion Battery Using Neural Network Based on an Improved Thevenin Circuit Model

State-of-Charge Estimation of the Lithium-Ion Battery Using Neural Network Based on an Improved Thevenin Circuit Model

Hierarchical State-of-Charge Balancing and Second-Harmonic Current Suppressing Control With a Scalable DC Reconfigurable Battery Pack

Research on the Station Layout Method of Ground‐Based Pseudolite Positioning System Based on NSGA‐II Algorithm

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