Article
Multidisciplinary Sciences
Shichun Yang, Sida Zhou, Yang Hua, Xinan Zhou, Xinhua Liu, Yuwei Pan, Heping Ling, Billy Wu
Summary: The proposed SOC estimation approach using IEKF algorithm with various improvements achieves high accuracy and robustness, reducing error to 2.94% under dynamic stress test conditions. This method shows better performance and robustness compared to traditional EKF method, demonstrating its practicality for state estimation of battery packs in real-world operating conditions.
SCIENTIFIC REPORTS
(2021)
Article
Energy & Fuels
Peng Nian, Zhang Shuzhi, Zhang Xiongwen
Summary: An improved adaptive extended Kalman filter (IAEKF) is proposed for co-estimation of battery capacity and SOC, with enhanced temperature adaptability through polynomial relationships and forgetting factor. Verification results demonstrate high accuracy and anti-interference capability of the algorithm in FUDS testing.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Daoming Sun, Xiaoli Yu, Chongming Wang, Cheng Zhang, Rui Huang, Quan Zhou, Taz Amietszajew, Rohit Bhagat
Summary: This paper proposed an intelligent adaptive extended Kalman filter (IAEKF) method that can detect the moment of distribution change of EIS by the maximum likelihood function. The ICM is then updated based on the EIS after that moment to improve the SOC estimation accuracy, showing significant improvement compared to traditional AEKF.
Article
Energy & Fuels
Na Shi, Zewang Chen, Mu Niu, Zhijia He, Youren Wang, Jiang Cui
Summary: This paper proposes an SOC estimation method for lithium-ion batteries based on adaptive extended Kalman filter. By improving parameter identification and adaptively adjusting the forgetting factor, the accurate estimation of SOC is achieved.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Aerospace
Cory T. Fraser, Steve Ulrich
Summary: Two unique adaptive extended Kalman filter algorithms are proposed to address spacecraft formation flying missions in near-Earth orbit, capable of real-time updating of internal noise characteristics. Numerical simulations show that these algorithms are significantly more robust to filter initialization errors, dynamics modeling deficiencies, and measurement noises compared to the standard Kalman filter.
Article
Environmental Sciences
Zhihui Yin, Jichao Yang, Yue Ma, Shengli Wang, Dashuai Chai, Haonan Cui
Summary: This paper proposes a Robust Adaptive Extended Kalman Filter (RAKF) method for GNSS/INS integrated navigation systems. By constructing an optimal measurement noise covariance matrix based on the position accuracy factors, measurement factor, and position standard deviation in GNSS measurement results, the method improves positioning accuracies and heading angle accuracy in complex urban environments. Experimental results show significant improvements compared to classical EKF, AKF, and RKF algorithms.
Article
Green & Sustainable Science & Technology
Jie Xing, Peng Wu
Summary: An improved adaptive unscented Kalman filter (IAUKF) algorithm is proposed in this paper to enhance the estimation accuracy and stability of SOC in lithium-ion batteries, by adaptively estimating and correcting system noise statistics. Experimental results demonstrate that IAUKF has higher accuracy and stability in SOC estimation compared to conventional methods.
Article
Energy & Fuels
Himadri Sekhar Bhattacharyya, Amalendu Bikash Choudhury, Chandan Kumar Chanda
Summary: This paper focuses on the battery management system (BMS) and the calculation of state of charge (SOC) in lithium-ion batteries. By using the electrical equivalent circuit model (EECM) and algorithms such as extended Kalman filter (EKF) and dual extended Kalman filter (DEKF), a fairly accurate estimate of SOC can be obtained. The impact of voltage and current sensor bias on SOC is also investigated, and the effectiveness of the algorithms is validated under different conditions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Jieyu Xu, Dongqing Wang
Summary: This study addresses issues with single-rate sampled state space models facing resistor-capacity couples with different time scales by using a dual-rate sampled method. It incorporates recursive noise estimation and exponential weighted multiple innovation, demonstrating superior precision compared to classical single-rate sampled methods.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Yuanmao Ye, Zhenpeng Li, Jingxiong Lin, Xiaolin Wang
Summary: This paper proposes a new model-based SOC estimation method for lithium-ion batteries, which integrates parameter identification and state estimation into one closed-loop algorithm. The algorithm utilizes extended stochastic gradient algorithm and adaptive extended Kalman filter for parameter identification and state estimation respectively. Experimental results demonstrate the good performance of the proposed method in terms of estimation accuracy and robustness under different test conditions, making it more suitable for online SOC estimation of lithium-ion batteries.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Linchao Duan, Xugang Zhang, Zhigang Jiang, Qingshan Gong, Yan Wang, Xiuyi Ao
Summary: This paper proposes a second-order adaptive extended Kalman filter (AEKF) for accurately estimating the state of charge (SOC) of a lithium-ion battery. By analyzing the correlation between sliding window length (SWL) and algorithm errors, a reasonable SWL parameter value is obtained to ensure higher accuracy in SOC estimation when the working condition changes while keeping SWL unchanged. Experimental results demonstrate that the proposed second-order AEKF excels in terms of estimation accuracy and robustness.
Article
Energy & Fuels
Mostafa Al-Gabalawy, Nesreen S. Hosny, James A. Dawson, Ahmed Omar
Summary: A study developed a SOC estimation algorithm using extended Kalman filter (EKF) and found that the dual EKF algorithm provided the most accurate estimation for battery parameters through comparative analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Cong Jiang, Shunli Wang, Bin Wu, Carlos Fernandez, Xin Xiong, James Coffie-Ken
Summary: An adaptive square root extended Kalman filter combined with Thevenin equivalent circuit model was proposed in this study to address filtering divergence caused by computer rounding errors in power lithium-ion battery state-of-charge estimation. The algorithm achieved robust and accurate SOC estimation results using the Sage-Husa adaptive filter and square root decomposition of the covariance matrix. Additionally, a multi-scale dual Kalman filter algorithm and a forgetting factor recursive least-square method were utilized for joint estimation of SOC and capacity, and parameter identification, respectively.
Article
Remote Sensing
Xu Lin, Xinghai Yang, Chihao Hu, Wei Li
Summary: Kalman smoothing algorithms are widely used in target tracking systems for offline data processing. The adaptive Kalman filter algorithm can reduce the impact of abnormal dynamic models on filter results to some extent. However, the complexity of selecting optimal adaptive factors makes it difficult to improve smoothing accuracy.
Article
Energy & Fuels
Dongqing Wang, Yan Yang, Tianyu Gu
Summary: This paper introduces a hierarchical adaptive extended Kalman filter (HAEKF) algorithm for state of charge (SOC) estimation in battery management system (BMS). The algorithm utilizes an adaptive EKF algorithm with online updating of the Sage-Husa estimator for improved SOC estimation. The hierarchical identification principle is used to decompose the circuit state equation model into two fictitious submodels with different sampling rates, allowing for fast and slow dynamic estimation using the HAEKF algorithm. Experimental results under the urban dynamometer driving schedule (UDDS) test condition confirm the high accuracy, low computational cost, and strong robustness of the HAEKF algorithm under left biased measurement noise variance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Electrochemistry
Abdul Qayoom Mugheri, Shaista Khan, Ali Asghar Sangah, Aijaz Ahmed Bhutto, Muhammad Younis Laghari, Nadeem Ahmed Mugheri, Asif Ali Jamali, Arsalan Ahmed Mugheri, Nagji Sodho, Abdul Waheed Mastoi, Aftab Kandhro
Summary: Green hydrogen has the potential to transition to a pollution-free energy infrastructure. This study proposes a solution to produce hydrogen during the photoelectrochemical process, offering greater stability and control over chemical reactions. Techno-economic assessments show the efficiency and economic feasibility of co-producing value-added chemicals to enhance green hydrogen production.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Danpeng Cheng, Wuxin Sha, Qigao Han, Shun Tang, Jun Zhong, Jinqiao Du, Jie Tian, Yuan-Cheng Cao
Summary: LiNixCoyMn1-x-yO2 (NCM) is a critical cathode material for lithium-ion batteries in electric vehicles. The aging of cathode/electrolyte interfaces leads to capacity degradation and long-term cycle instability. A novel neural network model called ACGNet is developed to predict electrochemical stability windows of crystals, allowing for high-throughput screening of coating materials. LiPO3 is identified as a promising coating material with high oxidation voltage and low cost, which significantly improves the cycle stability of NCM batteries. This study demonstrates the accuracy and potential of machine learning in battery materials.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
P. Mohana, R. Yuvakkumar, G. Ravi, S. Arunmetha
Summary: This study successfully fabricates a non-noble CuO/NiO/rGO nanocomposite and investigates its electrocatalytic performance for oxygen evolution reaction in alkaline environment. The experimental results demonstrate that the electrocatalyst exhibits high activity and good stability, offering a new synthetic approach for sustainable energy production.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Qiong Qu, Jing Guo, Hongyu Wang, Kai Zhang, Jingde Li
Summary: In this study, a bifunctional electrode host design consisting of carbon nanofibers implanted ordered porous Co-decorated Al2O3 supported on carbon nanotube film (CNTF) was proposed to address the shuttling effect of lithium polysulfides (LiPSs) and dendrite formation of metal lithium anode in lithium-sulfur (Li-S) batteries. The electrode exhibited excellent conductivity, efficient confinement of LiPSs, and catalytic conversion performance, resulting in high initial capacity and good capacity retention during cycling. As an anode, the electrode showed excellent Li+ diffusion performance and uniform lithium growth behavior, achieving a dendrite-free lithium electrode. The flexible pack cell assembled from these electrodes delivered a specific capacity of 972 mAh g(-1) with good capacity retention.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Hong Zhang, Jin-Peng Yu, Chen Chen, Cheng-Yong Shu, Guang-Yu Xu, Jie Ren, Kai Cui, Wen-Fang Cai, Yun-Hai Wang, Kun Guo
Summary: Spray coating of acetylene black nanoparticles onto stainless steel mesh can enhance its biofilm formation ability and current density, making it a promising electrode material for microbial electrochemical systems. The spray coating method is simple, cost-effective, and suitable for large-size stainless steel electrodes.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Binpeng Hou, Jingjin Chen, Li-Hong Zhang, Xiaowen Shi, Zizhong Zhu
Summary: The electrochemical performance of Li1.20Mn0.44Ni0.32Co0.04O2 and its oxygen-deficient phase Li1.20Mn0.44Ni0.32Co0.04O1.83 was studied through first-principles calculations. The results show that the oxygen-deficient phase has a higher theoretical capacity but lower voltage platform and higher chemical activity compared to the pristine phase.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Yating Du, Sayoko Shironita, Daisuke Asakura, Eiji Hosono, Yoshitsugu Sone, Yugo Miseki, Eiichi Kobayashi, Minoru Umeda
Summary: This study investigates the effect of high- and low-temperature environments on the charge-discharge performance of a Li-ion battery. The deterioration mechanisms of the battery at different temperatures are analyzed through various characterization techniques. The results indicate that the battery performance deteriorates more significantly at a low-temperature environment of 5 degrees C compared to higher temperatures. The understanding of the deterioration mechanisms can contribute to the development of safer battery usage methods.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Si-Si Shi, Zhi-Xiang Yuan, Fei Zhang, Ping Chen
Summary: In this study, a new nano-electrocatalyst was prepared, which exhibited superior electrocatalytic activity for the reduction of NO2- to ammonia in a neutral electrolyte, potentially due to the synergistic enhancement between Co3O4-x and Co.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Berna Dalkiran, Havva Bekirog
Summary: This study reports the use of deep eutectic solvents (DES) based on ethylene glycol and urea as low-cost and green electrolytes for enhancing electrochemical detection of natural antioxidants. The study successfully developed a disposable and effective electrochemical sensing platform for simultaneous determination of ascorbic acid (AA) and gallic acid (GA) using NaOH nanorods on a pencil graphite electrode. The proposed electrode showed improved analytical performance, with higher peak currents and shifted oxidation potentials in DES compared to BR buffer medium.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Sijun Ren, Jianguo Huang
Summary: In this study, a novel bio-inspired nanofibrous WO3/carbon composite was synthesized using a facile hydrothermal method. The three-dimensional network structure of the composite alleviated the volume expansion of WO3 nanorods and enhanced the charge-transport kinetics. The optimized composite exhibited superior lithium storage properties.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Zhilong Zheng, Yu Chen, Hongxia Yin, Hengbo Xiao, Xiangji Zhou, Zhiwen Li, Ximin Li, Jin Chen, Songliu Yuan, Junjie Guo, Haibin Yu, Zhen Zhang, Lihua Qian
Summary: This study found that interstitial Zn cations in CoMoO4 can modulate the dissolution kinetics of Mo cations and improve the OER performance. The interstitial Zn cations can prevent the dissolution of Co cations at high potential, enhancing the durability of the catalyst.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Xiaobo Lin, Shern R. Tee, Debra J. Searles, Peter T. Cummings
Summary: Molecular dynamics simulations using the constant potential method were used to investigate the charging dynamics and charge storage of supercapacitors. The simulations revealed that the water-in-salt electrolyte exhibited the highest charge storage and significantly higher capacitance on the negative electrode. The varying contributions of different electrode regions to supercapacitor performance were also demonstrated.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Wiktoria Lipinska, Vita Saska, Katarzyna Siuzdak, Jakub Karczewski, Karol Zaleski, Emerson Coy, Anne de Poulpiquet, Ievgen Mazurenko, Elisabeth Lojou
Summary: The spatial distribution of enzymes on electrodes is important for bioelectrocatalysis. In this study, controlled spatial distribution of gold nanoparticles on Ti nanodimples was achieved. The efficiency of enzymatic O2 reduction was found to be influenced by the size of the gold nanoparticles and their colocalization with TiO2. The highest stability of enzymatic current was observed with the largest gold nanoparticles.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Tariq M. Al-Hejri, Zeenat A. Shaikh, Ahmed H. Al-Naggar, Siddheshwar D. Raut, Tabassum Siddiqui, Hamdan M. Danamah, Vijaykumar V. Jadhav, Abdullah M. Al-Enizi, Rajaram S. Mane
Summary: This study explores a promising self-growth approach for the synthesis of nickel hydroxide (Ni(OH)2) nanosponge-balls on the surface of a nickel-foam (NiF) electrode. The modified NiF electrode, named Ni(OH)2@NiF, shows distinctive nanosponge-ball morphology and demonstrates excellent energy storage capability and electrocatalytic performance in both hydrogen and oxygen evolution reactions.
ELECTROCHIMICA ACTA
(2024)
Article
Electrochemistry
Rafael Del Olmo, Gregorio Guzman-Gonzalez, Oihane Sanz, Maria Forsyth, Nerea Casado
Summary: The use of Lithium-Ion Batteries (LIBs) is becoming increasingly extensive, and it is important to optimize the devices to achieve their maximum practical specific capacity. In this study, mixed ionic-electronic conducting (MIEC) binders based on PEDOT:PSS and PEDOT: PDADMA-TFSI were developed for Li-ion cathodes, and their performance was compared with conventional formulations. The influence of electrode formulations, including the addition of conducting carbon and an Organic Ionic Plastic Cristal (OIPC), was also analyzed. The proposed binders showed improved performance compared to conventional formulations with different electrolyte types and active materials.
ELECTROCHIMICA ACTA
(2024)