Article
Multidisciplinary Sciences
Yanqin Zhang, Ran Yang, Rongchen Chi
Summary: This paper presents a new simulation approach based on a system model and the Monte Carlo method to study the effect of factors on the state of charge consistency of Li-ion battery packs. The research shows that differences in battery temperature, leakage current, and Coulombic efficiency are the main factors affecting SOC consistency.
ADVANCED THEORY AND SIMULATIONS
(2022)
Article
Energy & Fuels
Mina Ma, Xiaoyu Li, Wei Gao, Jinhua Sun, Qingsong Wang, Chris Mi
Summary: This study proposes a multi-fault diagnosis strategy focusing on detecting and isolating different types of faults in lithium-ion batteries. By using principal component analysis (PCA) and parallel kernel principal component analysis (KPCA), the method accurately detects faults and reconstructs fault waveforms to improve fault diagnosis reliability, as verified by tested data.
Article
Chemistry, Physical
Shuzhi Zhang, Xiongwen Zhang
Summary: This paper presents a novel low-complexity state-of-energy (SOE) estimation method for series-connected lithium-ion battery pack based on representative cell selection and operating mode division. The method accurately estimates the SOE of the battery pack by tracking the freshest cell and the oldest cell, dividing battery cell operating mode into two classes, and using an adaptive weighted strategy. Validation results show that the developed method achieves accurate SOE estimation with limited error bands.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Electrical & Electronic
Bo Jiang, Haifeng Dai, Xuezhe Wei
Summary: This study investigates a novel cell-to-pack state estimation extension method based on a multilayer difference model (MDM) to address the challenges of battery degradation and cell inconsistency in existing state estimation methods. The proposed method efficiently realizes accurate estimation of State-of-Charge (SOC) and capacity for series-connected battery packs. Experimental results demonstrate the accuracy, efficiency, and adaptability of the proposed method under different dynamic conditions and various battery temperatures and cell inconsistencies.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Computer Science, Information Systems
Hongrui Liu, Xudong Yang, Xiangyang Wei, Junjie Ai
Summary: This paper proposes a new multi-mode equalizer that addresses the issues of complex balancing strategy and poor balancing performance in traditional centralized equalizers. Experimental results demonstrate that the proposed equalizer achieves an efficiency of 81.7% in balancing battery strings.
Article
Thermodynamics
Deyang Huang, Ziqiang Chen, Shiyao Zhou
Summary: The paper proposes a heating method based on model prediction to support the operation of battery pack in low temperature, and experimental results demonstrate its effectiveness and energy efficiency.
Article
Energy & Fuels
Shuzhi Zhang, Nian Peng, Haibin Lu, Rui Li, Xiongwen Zhang
Summary: This paper presents a systematic and low-complexity multi-state estimation framework for a series-connected lithium-ion battery pack under passive balance control. The framework includes the estimation of pack state-of-charge (SOC), state-of-health (SOH), and cell SOC inconsistencies. The results show that the proposed framework can accurately estimate the battery pack's states and track the cell SOC inconsistencies.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
E. Zhang, Cheng Xu, Sheng Wang, Qionglin Shi, Yi Zhang, Haomiao Li, Kangli Wang, Kai Jiang
Summary: Liquid metal batteries have the potential to be a cost-effective solution for grid-scale energy storage. This study investigates the effect of parameter consistency on the evolution of battery pack capacity and analyzes the relationship between coulombic efficiency consistency and capacity retention rate.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Ruoyu Yang, Meiwei Wang, Huan Xi
Summary: This study proposes modified air-based battery thermal management system (BTMS) configurations with controllable valves to balance the temperature distribution within the battery pack. By optimizing the valve opening strategies, the model successfully reduces the maximum temperature and maximum temperature difference, improving the performance of the BTMS.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Manohar Gottapu, Taedong Goh, Anshul Kaushik, Shashishekar P. Adiga, Sagar Bharathraj, Rajkumar S. Patil, Daehyun Kim, Youngho Ryu
Summary: Battery packs are designed with multiple battery cells configured in series and/or parallel combinations to meet energy and power requirements of target applications. Modeling these packs is complex and computationally challenging, considering variations between cells, and the developed model accurately predicts pack performance and temperature.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Shiyao Zhou, Ziqiang Chen, Deyang Huang, Tiantian Lin
Summary: A novel fault-tolerant multimodule SoC estimation method is proposed for a series-parallel connected battery pack, using average module model and bias correction model to describe the battery pack's performance. An H infinity filter is employed to estimate SoC for the average module, and a recursive least square method is used to obtain the SoCs of in-pack modules. Experimental results show good real-time performance, stability, and accuracy of the proposed method.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Xiangwei Guo, Jiahao Geng, Zhen Liu, Xiaozhuo Xu, Wenping Cao
Summary: The proposed active balancing method based on two flyback converters enables balanced energy transfer in a series-connected battery pack, reducing cost and volume of the balancing system while achieving fast balancing efficiency. The dual-objective hybrid control strategy introduced can lower the highest voltage and raise the lowest voltage in the charging or discharging process within one sampling period, thus improving balancing speed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Shiqi Liu, Junhua Wang, Qisheng Liu, Jia Tang, Haolu Liu, Yang Zhou, Xingya Pan
Summary: This article proposes a new discharge mode identification (DMI) method for online SOC estimation of series-connected battery packs, which simplifies the process of searching for poorly performing cells by analyzing inconsistencies. The pack SOC is estimated based on the average or all cells during different discharge phases. Furthermore, a segmented coulomb counting (SCC) method based on partial adaptive forgetting factors recursive least square (PAFFRLS) is introduced to address the computational load issue in a battery management system (BMS).
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Thermodynamics
Fulai An, Weige Zhang, Bingxiang Sun, Jiuchun Jiang, Xinyuan Fan
Summary: The manuscript focuses on analyzing the degree of influence of battery pack inconsistency on output energy. A novel model, consisting of Gaussian mixture model (GMM) and three-dimensional mixture Copula model (MCM), is proposed to describe the inconsistency. Experimental and simulation results show a small output energy estimation error within +/- 1%. Multiple linear regression analysis reveals the influence degree of different model parameters on output energy. The results can be used for battery pack performance evaluation.
Article
Engineering, Civil
Longlong Zhu, Fazhan Tao, Zhumu Fu, Nan Wang, Baofeng Ji, Yongsheng Dong
Summary: This paper proposes an optimal car-following energy management strategy that combines energy management and adaptive cruise control to improve fuel economy of connected and automated fuel cell/battery hybrid electric vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(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.