Review
Thermodynamics
Xinghui Zhang, Zhao Li, Lingai Luo, Yilin Fan, Zhengyu Du
Summary: Electric vehicles powered by lithium-ion batteries have great potential in alleviating energy and environmental issues, but temperature management is crucial for their development and propagation. Both high and low temperature environments can negatively impact battery performance and safety, requiring proper handling.
Article
Thermodynamics
A. Fly, I Kirkpatrick, R. Chen
Summary: The performance of electrochemical energy storage technologies is strongly affected by temperature, with lithium-ion batteries showing the highest energy and power densities down to -30°C. Lead-acid cells provide the highest energy density and supercapacitors offer the highest power density at lower temperatures. A new simplified empirical method for lithium-ion cells to determine the optimum pre-heating temperature for maximum net energy output is introduced.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Tingting Jiang, Huifang Wang, Qiang Jin
Summary: This study quantifies the potential environmental impacts of lithium-ion batteries (LIBs) through life cycle assessment and compares three different types of batteries. The results show that the production and assembly phases of LIBs contribute to greenhouse gas emissions and have significant impacts on climate change and human and ecological toxicity. The study suggests process optimization for China's LIBs industry based on future electricity mixes.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Energy & Fuels
Xue Xia, Liang Tang
Summary: This study proposes a model for automotive cylindrical LIBs that can reduce computational effort in EV crash simulations, taking into account various operating conditions and characteristics of LIBs. It provides a powerful tool for analyzing the safety of batteries and battery packs with less computational and analytic effort.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Nikolaos Wassiliadis, Johannes Kriegler, Kareem Abo Gamra, Markus Lienkamp
Summary: The increasing sales of battery electric vehicles have led to their wider use under demanding conditions, such as frequent fast charging and operation under low temperatures. To prevent battery aging and failure, a health-aware fast charging strategy based on a model of reduced order is proposed, which can significantly reduce charging time while prolonging the cycle life of lithium-ion batteries.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Quanqing Yu, Lei Dai, Rui Xiong, Zeyu Chen, Xin Zhang, Weixiang Shen
Summary: This paper proposes a fault diagnosis method based on an improved model, and uses this method to detect faults in current sensors. Experimental results show that the method can detect faults in current sensors more accurately and quickly, and has the ability to detect minor faults under different operating conditions and temperatures.
Article
Energy & Fuels
Pranjali R. Tete, Mahendra M. Gupta, Sandeep S. Joshi
Summary: The thermal management of Lithium-Ion batteries in the automobile industry is crucial, and a novel design of a battery pack with liquid cooling is proposed. Numerical simulations and thermal analysis are conducted to evaluate the performance of the battery cooling system.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Electrochemistry
Anna Tomaszewska, Michael Parkes, Robert Doel, Gregory Offer, Billy Wu
Summary: The risk of lithium plating is a significant barrier to fast charging of lithium-ion batteries. This study investigates the performance of different charging protocols and finds that boost charging can reduce plating propensity under certain conditions, but increase it under others. Therefore, it is important to study alternative charging protocols on various conditions and battery types before practical deployment.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Energy & Fuels
Xiang Zhang, Peng Liu, Ni Lin, Zhaosheng Zhang, Zhenpo Wang
Summary: This study developed a novel data-driven framework for abnormality detection using a neural network with interpretable modules on top of an Autoencoder. The proposed algorithm achieved higher accuracy, shorter training time, and lower computational cost compared to existing algorithms when validated with real EV data.
Article
Chemistry, Physical
Xiao Hua, Cheng Zhang, Gregory Offer
Summary: This study introduces a novel parameter identification method and modified equivalent circuit model for lithium ion batteries, showing significant improvements in accuracy during drive cycle and constant current load validations for a large format lithium iron phosphate prismatic cell. The modified ECM considers switching RC network values for each phase, resulting in better accuracy especially at low state-of-charge for all lithium ion batteries. Training different characterization tests and experimental data across a complete State-of-Charge (SoC) and temperature range enables a smooth transition between identified parameters, leading to an improved model accuracy compared to conventional techniques.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Yujie Wang, Xingchen Zhang, Zonghai Chen
Summary: This paper provides a systematic review, comparison, and discussion of low temperature preheating techniques for lithium-ion batteries. The basic principles, advantages, and disadvantages of each technique are analyzed and compared in five dimensions. The future development directions and challenges of low temperature preheating techniques for lithium-ion batteries are also discussed.
Article
Engineering, Environmental
Dustin Weigl, David Young
Summary: The United States has identified critical lithium-ion battery materials to meet emission reduction targets set in accordance with the 2015 Paris Agreement. The lack of domestic natural resources has led to a growing focus on developing a domestic recycling industry. This study finds that automated battery sorting technology improves cobalt recovery and profitability, driving investment in recycling capacity and increasing the share of nickel and cobalt recovered from end-of-life batteries over time.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Thermodynamics
Antonio Garcia, Javier Monsalve-Serrano, Rafael Lago Sari, Santiago Martinez-Boggio
Summary: This study investigates the thermal runaway process caused by thermal abuse using various optical techniques with a Samsung ICR 18,650 - 26 J cylindrical battery cell. The results show that venting of electrolyte and gases occurs around 200 degrees C, with a safety time of about 3 minutes between venting and fire, inversely related to the heating ramp. Fast cameras helped to understand the phenomena of venting and combustion process in detail.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Eunji Kwak, Jun-hyeong Kim, Sung Ho Hong, Ki-Yong Oh
Summary: This study investigates the TR pathways of a LFP battery by developing a multiphysics model, establishing the importance of onset time and peak temperature as metrics for TR hazards. The surface-to-volume ratio (S/V) is identified as crucial for thermal safety, contributing to the thermal stability and reliability of LFP batteries.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Romain Mathieu, Olivier Briat, Philippe Gyan, Jean-Michel Vinassa
Summary: This article focuses on numerically optimizing fast charging protocols and their impact on battery cycle life. Experimental results show that optimized protocols can significantly reduce charging time and/or degradation while maintaining long cycle life.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Nanoscience & Nanotechnology
Ganglong Li, Houya Wu, Honglong Luo, Zhuo Chen, Andrew A. O. Tay, Wenhui Zhu
Review
Green & Sustainable Science & Technology
Nor Haziq Naqiuddin, Lip Huat Saw, Ming Chian Yew, Farazila Yusof, Tan Ching Ng, Ming Kun Yew
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Energy & Fuels
W. J. R. Song, Sasi Kumar Tippabhotla, A. A. O. Tay, A. S. Budiman
IEEE JOURNAL OF PHOTOVOLTAICS
(2018)
Article
Energy & Fuels
W. J. R. Song, S. K. Tippabhotla, A. A. O. Tay, A. S. Budiman
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2018)
Article
Materials Science, Multidisciplinary
Ganglong Li, Guang Zheng, Zijun Ding, Lei Shi, Junhui Li, Zhuo Chen, Liancheng Wang, Andrew A. O. Tay, Wenhui Zhu
JOURNAL OF MATERIALS SCIENCE
(2019)
Article
Materials Science, Multidisciplinary
Song Wenjian M. Ridhuan, Sasi Kumar Tippabhotla, Andrew Ah Ong Tay, Arief Suriadi Budiman
ADVANCED ENGINEERING MATERIALS
(2019)
Article
Energy & Fuels
Sasi Kumar Tippabhotla, W. J. R. Song, Andrew A. O. Tay, A. S. Budiman
Article
Energy & Fuels
Sasi Kumar Tippabhotla, Noel G. Diesta, Xingui Zhang, Shankar Sridhara, C. V. Stan, N. Tamura, Andrew A. O. Tay, A. S. Budiman
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2019)
Article
Energy & Fuels
Weng Cheong Tan, Lip Huat Saw, Farazila Yusof, Hui San Thiam, Jin Xuan
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Energy & Fuels
A. S. Budiman, S. Anbazhagan, G. Illya, W. J. R. Song, R. Sahay, S. K. Tippabhotla, A. A. O. Tay
Summary: The study found that in a novel PV module design, the residual stresses in silicon solar cells are highly compressive, which inhibits crack growth and allows the module to curve without cracking. This research demonstrates the higher level of mechanical stress tolerance in silicon solar cells with the PC-PC design.
Review
Environmental Studies
I. Made Ronyastra, Lip Huat Saw, Foon Siang Low
Summary: Coal mining requires proper planning for post-mining land usage to mitigate employment loss and support economic diversification and sustainable development. Previous research focused on risk management and multi-criteria decision analysis for determining the best land usage options. An integrated decision framework is needed to address the lack of connection between PMLU, financial feasibility study, risk identification, risk simulation, and multi-criteria decision analysis.
Article
Green & Sustainable Science & Technology
Sivanand Somasundaram, Andrew A. O. Tay
SUSTAINABLE ENVIRONMENT RESEARCH
(2019)
Article
Energy & Fuels
Lip Huat Saw, Yonghuang Ye, Ming Chian Yew, Wen Tong Chong, Ming Kun Yew, Tan Ching Ng
Article
Thermodynamics
Nugroho Agung Pambudi, Maedanu Fasola, Lukad Valiant Perdana, Ria Laurensia, Danar Susilo Wijayanto, Muhammad Imran, Lip Huat Saw
CASE STUDIES IN THERMAL ENGINEERING
(2017)
Proceedings Paper
Green & Sustainable Science & Technology
Ming Chian Yew, Ming Kun Yew, Lip Huat Saw, Rajkumar Durairaj
GREEN AND SUSTAINABLE TECHNOLOGY
(2017)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
