Article
Electrochemistry
Shiqi Liu, Junhua Wang, Haolu Liu, Qisheng Liu, Jia Tang, Zhongxiang Li
Summary: This paper proposes a novel battery lifetime estimator based on multiple health indicators, utilizing six different characteristics to train a neural network model in order to improve accuracy and robustness of battery lifetime estimation. Additionally, an empirical degradation model for low-capacity batteries considering different usage factors is introduced, which is significant for the optimized design of BESS.
ELECTROCHIMICA ACTA
(2021)
Article
Energy & Fuels
Ilan Aharon, Aaron Shmaryahu, Alex Ivanov, Nissim Amar
Summary: This paper presents a new generic battery model for the sizing process, which combines different methods of battery mocking up into one model. Through creating a database based on battery tests performed under various conditions, the model characterizes parameter changes and predicts operating points. The proposed model shows better prediction of battery parameters and more optimal sizing results.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Ariana Ramos, Markku Tuovinen, Mia Ala-Juusela
Summary: Battery Energy Storage Systems (BESS) can serve as a service for final customers, microgrids, and external actors like DSOs and TSOs. Ownership of BESS can vary between the final consumer or a third party, and the key enablers for the service model are regulatory framework that allows stacked revenues and technological interoperability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Automation & Control Systems
Yuping Wang, Weidong Li, Run Fang, Honghui Zhu, Qiao Peng
Summary: This paper proposes an XGBoost-based machine learning framework that can predict and analyze the capacities of batteries under different current rates, while also quantifying the correlations between battery component parameters. The framework is tested on two popular lithium-ion battery types and shows satisfactory capacity prediction performance, as well as reliable parameter importance and correlation quantification results.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Energy & Fuels
Haixin Wang, Siyu Mu, Haoqian Cui, Zihao Yang, Shanshan Cheng, Jiling Li, Yanzhen Li, Junyou Yang
Summary: This paper proposes an output power model for a combined cooling, heating, and power microgrid (CCHPM) with a battery energy storage system (BESS). A capacity optimization method for the BESS is developed to enhance renewable energy accommodation and reduce the total cost of the microgrid.
Article
Multidisciplinary Sciences
Sang Cheol Kim, Solomon T. Oyakhire, Constantine Athanitis, Jingyang Wang, Zewen Zhang, Wenbo Zhang, David T. Boyle, Mun Sek Kim, Zhiao Yu, Xin Gao, Tomi Sogade, Esther Wu, Jian Qin, Zhenan Bao, Stacey F. Bent, Yi Cui
Summary: Improving the Coulombic efficiency (CE) of lithium metal batteries is crucial, and liquid electrolyte engineering has shown promise. In this study, machine learning models were developed to design high-performance electrolytes. The models identified a reduction in solvent oxygen content as a critical factor for superior CE. By using fluorine-free solvents, electrolyte formulations achieved a high CE of 99.70%.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Engineering, Electrical & Electronic
Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang
Summary: This article introduces a new modular, reconfigurable battery energy storage system that integrates reconfigurable power switches and DC/DC converters. The system allows for isolation of faulty cells and precise power control for optimal system performance. An optimal power management approach is developed to minimize power losses and achieve state-of-charge and temperature balancing. Extensive simulations and a lab-scale prototype validate the proposed system design and power management approach.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Review
Materials Science, Multidisciplinary
Yongliang Li, Hua Yuan, Yanbing Chen, Xiaoyu Wei, Kunyan Sui, Yeqiang Tan
Summary: This article reviews the latest research progress in electrode design based on nanofibers, highlighting the important roles of nanofibers in electrode design and discussing key issues affecting the electrochemical performance of electrodes.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2021)
Article
Thermodynamics
Masoume Shabani, Erik Dahlquist, Fredrik Wallin, Jinyue Yan
Summary: This study investigates the techno-economic impacts of two battery modelling scenarios on the sizing and optimization of a grid-connected PV-battery system. The results show that system optimization based on a complex battery model is more beneficial and can provide more power to the end-user compared to a simple battery model scenario.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Kinza Fida, Kashif Imran, Khawaja Khalid Mehmood, Pakeeza Bano, Abdullah Abusorrah, Abdul Kashif Janjua
Summary: Due to the intermittent nature of renewable energy resources, the high penetration of RES can reduce power system reliability. However, a battery energy storage system (BESS) can mitigate this uncertainty and improve reliability. The optimal deployment of BESS depends on factors such as location, capacity, and technology. This study proposes a Net-Benefit function considering energy arbitrage value and power system reliability indices, demonstrating significant net benefits for both system operators and private investors.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Su Dawei, Lei Zhen
Summary: This article proposed a novel capacity optimization configuration method for BESS considering rate characteristics, which can effectively reduce the required capacity and minimize the impact on the power system by analyzing the charge or discharge rate characteristics and equivalent conversion method of action time at different rates.
Article
Energy & Fuels
Claire Halloran, Jesus Lizana, Filiberto Fele, Malcolm McCulloch
Summary: This study presents a novel method to generate high spatiotemporal resolution residential heat pump demand profiles based on field trial data and demonstrates its importance in spatial power system planning.
Article
Energy & Fuels
Alberto Vazquez-Rodriguez, Andrea Michiorri, Georges Kariniotakis
Summary: This paper presents a study on detailed modeling of battery storage systems in hybrid photovoltaic-battery power plants, and analyzes their impact on capacity firming and low-voltage grid. The results show that precise models have a weaker influence on industrial applications than expected.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Ruo Huan Yang, Jian Xun Jin, Qian Zhou, Meng Xiao
Summary: This paper proposes a novel cascaded topology of SMES/battery hybrid energy storage system, which solves some problems in existing systems while retaining the advantages of traditional systems. Simulations and experiments are conducted to verify the performance of this system, showing good results.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Jun Xu, Xuesong Mei, Haitao Wang, Hu Shi, Zheng Sun, Zhongyue Zou
Summary: A model based balancing system (MBBS) is proposed to solve the inconsistency problem in a series connected battery energy storage system. The MBBS can apply a high balancing current to the battery cells, and has a lower cost compared to traditional methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Artificial Intelligence
Biranchi Panda, K. Shankhwar, Akhil Garg, M. M. Savalani
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Computer Science, Artificial Intelligence
Akhil Garg, K. Shankhwar, Dazhi Jiang, V. Vijayaraghavan, B. N. Panda, Sudhansu Sekhar Panda
NEURAL COMPUTING & APPLICATIONS
(2018)
Article
Computer Science, Interdisciplinary Applications
H. Kurugodu, S. Bordoloi, Y. Hong, Ankit Garg, Akhil Garg, S. Sreedeep, A. H. Gandomi
ADVANCES IN ENGINEERING SOFTWARE
(2018)
Article
Computer Science, Interdisciplinary Applications
V. Vijayaraghavan, Li Shui, Akhil Garg, Xiongbin Peng, Vikas Pratap Singh
ENGINEERING WITH COMPUTERS
(2019)
Article
Chemistry, Physical
V. Vijayaraghavan, Jacob F. N. Dethan, A. Garg
MOLECULAR SIMULATION
(2018)
Article
Engineering, Environmental
Liu Yun, Duy Linh, Li Shui, Xiongbin Peng, Akhil Garg, My Loan L. E. Phung, Saeed Asghari, Jayne Sandoval
RESOURCES CONSERVATION AND RECYCLING
(2018)
Article
Computer Science, Interdisciplinary Applications
S. G. Rahul, G. Dhivyasri, P. Kavitha, S. Arungalai Vendan, K. A. Ramesh Kumar, Akhil Garg, Gao Liang
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2018)
Article
Computer Science, Interdisciplinary Applications
Li Shui, Fangyuan Chen, Akhil Garg, Xiongbin Peng, Nengsheng Bao, Jian Zhang
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2018)
Article
Electrochemistry
Li Shui, Xiongbin Peng, Jian Zhang, Akhil Garg, Hoang-do Nguyen, My Loan Phung Le
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE
(2019)
Article
Chemistry, Physical
Tzu-Hsuan Lan, Chin-Tsan Wang, Thangavel Sangeetha, Yung-Chin Yang, Akhil Garg
JOURNAL OF POWER SOURCES
(2018)
Article
Thermodynamics
Wei Li, Mi Xiao, Xiongbin Peng, Akhil Garg, Liang Gao
APPLIED THERMAL ENGINEERING
(2019)
Article
Thermodynamics
Shrutidhara Sarma, Ankit Goyal, Liang Gao, Xiaodong Niu, Akhil Garg, Xu Meijuan, Jayne Sandoval
APPLIED THERMAL ENGINEERING
(2019)
Article
Energy & Fuels
Dezhi Chen, Surinder Singh, Liang Gao, Akhil Garg, Zhun Fan, Chin-Tsan Wang
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2019)
Article
Engineering, Multidisciplinary
M. Natesh, Liu Yun, S. Arungalai Vendan, K. A. Ramesh Kumar, Liang Gao, Xiaodong Niu, Xiongbin Peng, Akhil Garg
Article
Computer Science, Interdisciplinary Applications
Dazhi Jiang, Yifei Chen, Akhil Garg
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
(2018)