Article
Energy & Fuels
Haisheng Guo, Xudong Han, Run Yang, Jinjin Shi
Summary: This paper proposes a multi-scale estimation algorithm that combines fractional order adaptive extended Kalman filter and variable forgetting factor recursive least square to solve the problem of SoC estimation in lithium-ion battery management system. Experimental results show that the proposed method achieves high accuracy and robustness.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Jingjin Wu, Chao Fang, Zhiyang Jin, Lina Zhang, Jiejie Xing
Summary: This study proposes a multi-scale fractional-order dual unscented Kalman filter to improve the accuracy of SOC estimation for lithium-ion batteries. The characteristics of lithium-ion batteries are represented using a fractional-order model based on the fractional calculus theory, and the parameters are identified using an adaptive genetic algorithm. The fractional-order dual unscented Kalman filter is employed to jointly estimate the battery parameters and SOC. Experimental results verify the effectiveness and accuracy of the proposed method.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Shulin Liu, Xia Dong, Xiaodong Yu, Xiaoqing Ren, Jinfeng Zhang, Rui Zhu
Summary: This paper presents an adaptive unscented Kalman filter algorithm (AUKF) for the joint estimation of SOC and SOH of lithium-ion batteries. The proposed method is verified to be accurate and reliable through experiments.
Article
Energy & Fuels
Modjtaba Dahmardeh, Zhimin Xi
Summary: This paper proposes a probabilistic approach for battery state-of-charge estimation considering the cell-to-cell variability, so that reliable state-of-charge estimation can be obtained for a batch of similar cells without the need for individual cell characterization tests, ensuring the reliability of the state-of-charge estimation.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Chemical
Huixin Tian, Jianhua Chen
Summary: Accurate estimation of SOC is crucial for vehicle management systems. This paper introduces an attention-based CONV-LSTM module for SOC prediction, based on CNN and LSTM networks, which shows promising results in experiments.
Article
Thermodynamics
Lin Chen, Wentao Yu, Guoyang Cheng, Jierui Wang
Summary: This paper focuses on the SOC estimation of lithium batteries using a fractional-order adaptive square-root cubature Kalman filter (FO-ASRCKF). A fractional-order model (FOM) of the battery is established using fractional-order derivative theory. An improved adaptive genetic algorithm is applied for accurate identification of the multi-parameter model. The proposed FO-ASRCKF algorithm based on FOM and adaptive rules outperforms other filters in terms of SOC estimation accuracy and robustness.
Article
Thermodynamics
E. Jiaqiang, Bin Zhang, Yan Zeng, Ming Wen, Kexiang Wei, Zhonghua Huang, Jingwei Chen, Hao Zhu, Yuanwang Deng
Summary: This paper investigates the essence of inconsistency in lithium-ion batteries as State-Of-Charge (SOC) inconsistency, proposing a method to describe battery inconsistency using SOC disparity and studying the equalization control strategy. Through simulations and experiments, it is shown that active equalization significantly improves cell inconsistency and enhances energy utilization in the battery pack during charging and discharging processes. The proposed SOC estimation method meets accuracy requirements, and the equalization strategies effectively minimize SOC and voltage disparities among battery cells.
Article
Energy & Fuels
Xinze Zhao, Bingxiang Sun, Weige Zhang, Xitian He, Shichang Ma, Junwei Zhang, Xiaopeng Liu
Summary: Accurate SOC estimation is crucial for battery management systems. This paper studies the relationship between error sources and SOC estimation errors and proposes a method to identify and correct sensor faults and model parameter errors.
Article
Automation & Control Systems
Kandasamy Varatharajalu, Mathankumar Manoharan, Thamil Selvi C. Palanichamy, Sivaranjani Subramani
Summary: This manuscript proposes a hybrid method, WSO-HDLNN, for measuring the battery's dynamic electrical response as it is compressed by an external force. The proposed method aims to reduce the battery-voltage error by combining the War Strategy Optimization algorithm and Hierarchical Deep Learning Neural Network. The results show that the proposed method outperforms existing approaches in terms of computation time and error.
Article
Energy & Fuels
Hong Xu, Shunli Wang, Yongcun Fan, Jialu Qiao, Wenhua Xu
Summary: This study proposes an improved Drosophila algorithm combined with BP neural network to estimate the SOC of lithium-ion batteries. The improved algorithm shows better performance and estimation accuracy compared to traditional algorithms and other commonly used functions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Lin Su, Guangxu Zhou, Dairong Hu, Yuan Liu, Yunhai Zhu
Summary: A fractional order model based on an unscented Kalman filter and an H-infinity filter was proposed to improve the accuracy of SOC estimation for lithium batteries. Internal parameters were identified using HPPC experiment and the PSO algorithm, showing more accurate results compared to integer models. The FOUHIF algorithm demonstrated significant improvement in accuracy and robustness under working conditions with colored noise, outperforming existing algorithms.
Article
Energy & Fuels
Caian Ge, Yanping Zheng, Yang Yu
Summary: This study proposes an improved forgetting factor recursive least squares method based on dynamic constraint and parameter backtracking, and combines it with an extended Kalman filter for estimating the state of charge (SOC) of a lithium-ion battery. The results demonstrate that the improved method achieves high accuracy in identifying battery model parameters and the joint algorithm exhibits high accuracy and robustness in SOC estimation under dynamic stress test conditions, with a maximum absolute SOC estimation error of 2.49% and an average absolute SOC estimation error of 1.39%.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Yeliang Wei, Yinzhong Yan, Chao Zhang, Kangpei Meng, Chao Xu
Summary: In this paper, a new signal feature based on ultrasonic resonance phenomenon is proposed for state of charge (SOC) estimation of batteries. This feature, characterized by the initial rise time (IRT), is calculated using an algorithm based on temporal moment and adaptive moving root mean square. Experimental results show that the proposed IRT feature is highly correlated to the SOC status with satisfying accuracy, monotonicity and linearity. The IRT feature has the additional advantage to be calculated by only a single data acquisition channel, providing a more convenient mean of battery status estimation.
JOURNAL OF POWER SOURCES
(2023)
Article
Mathematics
Oliver Stark, Martin Pfeifer, Soeren Hohmann
Summary: This paper presents a method for parameter and order identification of a fractional model, which can handle noisy observations of the output signal and systems that are not at rest. The novelty lies in the optimization-based approach used for order identification, allowing for approximate identification even with noisy observations. Experimental results on a lithium-ion battery model demonstrate the practical usefulness and validity of the proposed approach.
Article
Multidisciplinary Sciences
Pei Tang, Jusen Hua, Pengchen Wang, Zhonghui Qu, Minnan Jiang
Summary: The article introduces a method to improve the prediction accuracy of the charging state of lithium-ion batteries. By extracting data feature information from different dimensions, the model achieves accurate predictions, as demonstrated by the test results.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Mechanical
Jun Xu, Yandong Chen, Yongpeng Tai, Xiaomei Xu, Guodong Shi, Ning Chen
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2020)
Article
Materials Science, Multidisciplinary
Jun Xu, Yandong Chen, Yongpeng Tai, Guodong Shi, Ning Chen
Summary: This study developed a dynamic model of a sandwich beam with viscoelastic coating based on a fractional constitutive equation. The influence of fractional order and size parameters on the dynamic characteristics of the sandwich beam was investigated, and the steady-state frequency response of the laminated beam was calculated. The results can provide a theoretical basis for the size design of laminated beams with damping requirements.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Mathematics
Yongpeng Tai, Ning Chen, Lijin Wang, Zaiyong Feng, Jun Xu
Article
Materials Science, Multidisciplinary
Yandong Chen, Jun Xu, Yongpeng Tai, Xiaomei Xu, Ning Chen
Summary: In this study, the use of fractional derivatives to describe the constitutive relationship of a fluid inerter is proposed for the first time, and a dynamic model of a vibration isolation system with both a fractional-order inerter and damper is established. The results show that the fractional constitutive model can express the inertia and damping effects simultaneously, and the ratio between them can be changed by adjusting the derivative order.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Physics, Multidisciplinary
Xin Lu, Hui Li, Ning Chen
Summary: The research on heat transfer characteristics of lithium-ion batteries using a fractional heat conduction model shows higher accuracy compared to traditional models. The model can effectively simulate the transient temperature field of the battery and monitor battery temperature to ensure safety and stability of performance. Testing in various operating environments confirmed the effectiveness of the fractional heat conduction model.
Article
Materials Science, Multidisciplinary
Jun Xu, Yandong Chen, Yongpeng Tai, Guodong Shi, Ning Chen, Jialing Yao
Summary: The paper presents a wave control method for the local vibration control of fractional viscoelastic composite beams based on the operating principle of a piezoelectric sheet. Optimization of parameters and design of control algorithm are utilized to achieve better control performance.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2021)
Article
Chemistry, Analytical
Yandong Chen, Yongpeng Tai, Jun Xu, Xiaomei Xu, Ning Chen
Summary: This paper introduces a new fractional-order NES system and provides precise methods for determining the number of equilibrium points and stability.
Article
Mathematics, Interdisciplinary Applications
Xin Lu, Ning Chen
Summary: This paper investigates the key issue of electrode performance by characterizing the charge distribution and density using fractional derivatives, revealing a strong correlation between charge density and charge mobility. It also explores the relationship between capacity recovery effects and charge density mutations, providing insights for electrode performance detection.
FRACTAL AND FRACTIONAL
(2022)
Article
Computer Science, Information Systems
Yongpeng Tai, Ning Chen, Jun Xu, Pu Li