Article
Thermodynamics
Zhicheng Xu, Jun Wang, Peter D. Lund, Yaoming Zhang
Summary: An accurate estimation of the state of charge (SOC) and state of health (SOH) of lithium-ion batteries is crucial for their management system, as well as for the safety and performance of electric vehicles and energy storage systems. A model-based method utilizing an equivalent circuit model and a minimalist electrochemical model has been proposed to simultaneously assess SOC and SOH, showing promising results with a mean error of around 2% for predicting battery capacity. This co-estimation method proves to be effective in real-time tracking of battery health and state of charge.
Article
Energy & Fuels
Liping Chen, Xinyuan Bao, Antonio M. Lopes, Changcheng Xu, Xiaobo Wu, Huifang Kong, Suoliang Ge, Jie Huang
Summary: This paper proposes a new approach that integrates the equivalent circuit model (ECM) and data-driven methods for estimating the state of health (SOH) of lithium-ion batteries (LIBs). By identifying the internal resistance of the ECM using an optimization algorithm and using an optimized neural network to predict the SOH, the proposed method demonstrates fast convergence, high accuracy, and good generalization capability.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Manh-Kien Tran, Manoj Mathew, Stefan Janhunen, Satyam Panchal, Kaamran Raahemifar, Roydon Fraser, Michael Fowler
Summary: The research found that state of health (SOH) has an impact on Thevenin ECM parameters, and it is recommended to use a new empirical model to represent this impact to improve parameter identification accuracy, with experimental validation yielding favorable results.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Physical
Marcel Esser, Gunnar Rohde, Christian Rehtanz
Summary: This paper demonstrated the development of a setup that performs impedance spectroscopy on commercial lithium-ion battery cells and packs using standard measurement equipment. The setup allows for a wider range of measurements and applications compared to commercial devices.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Multidisciplinary
Chun Chang, Shaojin Wang, Chen Tao, Jiuchun Jiang, Yan Jiang, Lujun Wang
Summary: Electrochemical impedance spectroscopy (EIS) is a non-invasive and information-rich measurement method for battery state analysis. Traditional equivalent circuit models (CECMs) may suffer from fitting failure and error, leading to poor estimation accuracy. In this study, a mid-frequency and low-frequency domain equivalent circuit model (MLECM) based on fusion SEI film resistance and charge transfer resistance is proposed, which achieves better parameter fitting and accuracy compared to CECMs. Furthermore, a power battery state of health (SOH) estimation method based on the improved model is introduced, demonstrating high estimation accuracy and low computational load.
Article
Thermodynamics
Eero Immonen, Jussi Hurri
Summary: This article compares four thermo-electric CFD models for battery thermal analysis and finds that a simple constant internal resistance heat generation model is remarkably close in accuracy to the more tedious dynamic equivalent circuit model for purely thermal considerations. Although the study focuses only on discharging, the methods and models can also be used in charging situations in the future.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Wencan Zhang, Taotao Li, Weixiong Wu, Nan Ouyang, Guangshan Huang
Summary: Electrochemical impedance spectroscopy (EIS) is a critical technique for evaluating the state of health (SoH) of lithium-ion batteries, but it consumes a lot of computing time. This paper proposes a simplified equivalent circuit (SECM) based on low and medium-frequency EIS, which plays a dominant role in battery aging. By using grey correlation analysis, three SECM parameters are selected as features, and the Gated recurrent unit neural network is used to estimate the SoH of lithium-ion batteries under dynamic conditions with ambient temperature and state of charge (SoC). The proposed method has good accuracy and robustness with an error less than 2%, highlighting the importance of low and medium-frequency EIS signals in battery management systems.
Article
Energy & Fuels
Chusheng Lu, Jian Hu, Yuanyi Zhai, Haibin Hu, Hangyu Zheng
Summary: This paper proposes a SOC estimation method based on the linearization of voltage hysteresis curve (EMBL) and establishes a novel equivalent model of lithium-ion battery based on a linear neural network (LEM). The superior performance of the LEM is verified through intermittent charging and discharging experiments. Furthermore, this paper constructs a SOC estimation method based on the linearization of voltage hysteresis curve and carries out equalization experiments with voltage equalization and SOC equalization. The results demonstrate that SOC equalization can significantly reduce energy consumption compared to voltage equalization, and the EMBL-based SOC equalization slightly outperforms the extended Kalman filter (EKF) algorithm-based SOC equalization in terms of energy consumption reduction.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Gaoya Shi, Siqi Chen, Hao Yuan, Heze You, Xueyuan Wang, Haifeng Dai, Xuezhe Wei
Summary: This study identifies battery parameters based on recursive least square method and introduces statistical analysis methods to characterize the sensitivity of parameters to SOH estimation. The results indicate that ohmic resistance and diffusion capacitance are the most suitable parameters for SOH indication. A compensating method to eliminate disturbances and a mapping relationship between SOH and indicators are proposed.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Maximilian Bruch, Lluis Millet, Julia Kowal, Matthias Vetter
Summary: A new method for precise parameterization of an equivalent circuit model from pulse tests is presented, with the robustness of such models increased by limiting the voltage of the RC element with the highest time constant. As a result, a precise and reliable model of a lithium-ion battery cell is created, with only a minor root-mean-square error of 1.30%.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Alejandro Gismero, Kjeld Norregaard, Bjarne Johnsen, Lasse Stenhoj, Daniel-Ioan Stroe, Erik Schaltz
Summary: The state of health (SOH) is crucial for the proper and safe operation of electric vehicle (EV) batteries, as well as for the second-hand market. This study aims to develop and verify a non-invasive method using incremental capacity analysis (ICA) to estimate the SOH of real EVs. The proposed method has been proven effective in both battery cells and commercial vehicles, allowing the estimation of SOH during charging without interference.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Jianfeng Wang, Yongkai Jia, Na Yang, Yanbing Lu, Mengyu Shi, Xutong Ren, Dongchen Lu
Summary: The study explores the factors affecting the accuracy of the equivalent circuit model in electric vehicle battery management systems (BMS) and designs experimental procedures to identify and optimize the model parameters. By utilizing polynomial fitting and sensitivity analysis, the study investigates the impact of three model parameters on different performance aspects under different state of charge (SOC). This study provides a foundation for battery modeling and model parameter identification, and proposes an optimization parameter as an indicator.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Yihui Jiang, Jun Xu, Chengwei Jin, Mengmeng Liu, Xuesong Mei
Summary: This paper investigates the effects of stack pressure on equivalent circuit model parameters of batteries. The study evaluates the changes in model parameters and their impact on model accuracy through various tests. The results show that stack pressure significantly affects all model parameters and reduces model accuracy. These findings are instructive for the application of equivalent circuit models in battery management.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Chun Chang, Qiyue Wang, Jiuchun Jiang, Tiezhou Wu
Summary: This paper proposes an online method based on incremental capacity and wavelet neural networks, which can estimate the health status of the battery under current discharge. By extracting important variables from IC curves and optimizing the WNN model parameters using genetic algorithm, the SOH of the battery is successfully estimated with an error of less than 3%.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Yajun Zhang, Yajie Liu, Jia Wang, Tao Zhang
Summary: This study proposes a novel method combining VC model and SVR for battery SOH estimation. The experimental results show that the SVR models achieve high accuracy in SOH estimation and are robust against different initial aging statuses and cycle conditions.
Article
Engineering, Chemical
Xiaolei Bian, Guoqiang Wang, Hongdi Wang, Shuai Wang, Weidong Lv
MINERALS ENGINEERING
(2017)
Article
Chemistry, Physical
Xiaolei Bian, Longcheng Liu, Jinying Yan, Zhi Zou, Ruikai Zhao
JOURNAL OF POWER SOURCES
(2020)
Article
Engineering, Electrical & Electronic
Jiangtao He, Zhongbao Wei, Xiaolei Bian, Fengjun Yan
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2020)
Article
Energy & Fuels
Jiangtao He, Xiaolei Bian, Longcheng Liu, Zhongbao Wei, Fengjun Yan
JOURNAL OF ENERGY STORAGE
(2020)
Article
Green & Sustainable Science & Technology
Ruikai Zhao, Qi Wang, Li Zhao, Shuai Deng, Xiaolei Bian, Longcheng Liu
Summary: This paper investigates the energy-efficiency performance of moving-bed adsorption for CO2 capture, comparing results from the regeneration separation model and the thermodynamic carbon pump model. The minimum separation work values for CO2 capture by moving bed are found to be approximately 15% higher using the regeneration separation model compared to the thermodynamic carbon pump model. The second-law efficiencies for both models are around 10% under the given conditions, with the regeneration separation model being closer to real status due to the additional consideration of adsorption isotherm equilibrium data.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Zhi Zou, Longcheng Liu, Shuo Meng, Xiaolei Bian, Yongmei Li
Summary: Capacitive energy extraction based on double layer expansion (CDLE) is a renewable method of harvesting energy from the salinity difference between seawater and freshwater. The study compared several EDL models and concluded that the improved modified Donnan (i-mD) model provided the most accurate results and meaningful parameters, but additional research is needed to better simulate the energy production process of the CDLE technique.
Article
Engineering, Electrical & Electronic
Xiaolei Bian, Zhongbao Wei, Jiangtao He, Fengjun Yan, Longcheng Liu
Summary: The article proposes a novel method for online SOC estimation using particle swarm optimization (PSO) algorithm to optimize model parameters for high accuracy.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Automation & Control Systems
Xiaolei Bian, Zhongbao Wei, Jiangtao He, Fengjun Yan, Longcheng Liu
Summary: The article proposes a fusion-type SOH estimation method combining model-based feature extraction and data-based state estimate to accurately estimate the health status of LIBs. Long-term cycling tests validate the method's robustness and generality in handling cell inconsistency, temperature uncertainty, noise corruption, and different battery chemistries.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Zhongwei Deng, Xiaosong Hu, Penghua Li, Xianke Lin, Xiaolei Bian
Summary: This article proposes a data-driven method based on random partial charging process and sparse Gaussian process regression to accurately estimate the state-of-health (SOH) of batteries. By extracting random capacity increment sequences from the partial charging process and using average value and standard deviation as features to indicate battery health, sparse GPR models are constructed for SOH estimation, achieving high accuracy.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Jian Hu, Xiaolei Bian, Zhongbao Wei, Jianwei Li, Hongwen He
Summary: This article proposes a novel residual statistics-based diagnostic method for current sensor fault diagnosis in lithium-ion batteries. The method utilizes only a small number of samples at the startup phase to accurately detect two typical sensor faults. Experimental validation shows that the method is highly robust and has a low false alarm rate.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Energy & Fuels
Zhi Zou, Longcheng Liu, Shuo Meng, Xiaolei Bian
Summary: This study systematically investigates the behavior and performance of the CapMix system in different operational modes. The results show that additional charging in the CDP technique can significantly improve the system's performance. CDP-CC and CDP-CV are the two superior operational modes in terms of energy production and average power density.
Article
Engineering, Electrical & Electronic
Xiaolei Bian, Zhongbao Gae Wei, Weihan Li, Josep Pou, Dirk Uwe Sauer, Longcheng Liu
Summary: A novel fusion-based method combining OCV model and incremental capacity analysis is proposed for state of health (SOH) estimation of lithium-ion batteries. The extracted features from OCV and IC curves are fused using an artificial neural network, resulting in high estimation accuracy and robustness according to experimental validation.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
