Article
Automation & Control Systems
Longfei Cao, Xinggang Fan, Dawei Li, Wubin Kong, Ronghai Qu, Zirui Liu
Summary: This article proposes an improved lumped parameter thermal network (LPTN) based online temperature prediction method for permanent magnet (PM) machines. The method incorporates global parameter identification and considers nonlinear characteristics such as magnetic saturation, cross-saturation, strand skin effect, and speed-dependent convective heat transfer. By using the identified multiphysical magneto-thermal model, the critical temperatures, online losses, and torque of PM machines can be predicted in real time. Experimental results show that the proposed method can track the real temperature variation within 5 degrees C.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Yan Ma, Hao Ding, Hongyuan Mou, Jinwu Gao
Summary: The paper introduces a thermal management strategy for power batteries on electric vehicles, proposes a nonlinear model predictive control (NMPC) method, and utilizes particle swarm optimization to solve the nonlinear programming problem. Simulation results demonstrate that the NMPC method ensures the battery works near the target temperature and reduces temperature inconsistency in the battery module.
Article
Engineering, Electrical & Electronic
Qiushuo Chen, Ying Fan, Junlei Chen, Yutong Lei, Can Yang
Summary: This paper proposes a thermal analytical model that combines lumped-parameter thermal network (LPTN) and the thermal analysis method (AM) to address boundary condition extraction and maximum temperature calculation. The model considers heat transfer between wheel end caps and outside air, improving the accuracy of temperature rise calculation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Lelya Khajiyeva, Yuliya Sabirova, Askar Kudaibergenov, Askat Kudaibergenov
Summary: This paper studies the nonlinear dynamics of a drill string in a supersonic gas flow, considering the influence of supporting stabilizers. The main focus is on the spatial lateral vibrations of the drill string, which often lead to drilling equipment failures. A mathematical model based on Novozhilov's nonlinear theory of elasticity is developed to account for nonlinear effects. The model is discretized using the lumped-parameter method, and a numerical solution is obtained using the explicit fourth order Runge-Kutta method. The analysis reveals the impact of damping elements (supporting stabilizers) on the lateral vibrations of the drill string. Numerical illustrations are presented, and recommendations for deep and shallow drilling are provided.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Multidisciplinary Sciences
Lelya A. Khajiyeva, Igor Andrianov, Yuliya F. Sabirova, Askar K. Kudaibergenov
Summary: This study focuses on the nonlinear dynamics of drill strings using the lumped-parameter method, specifically applied to the lateral vibrations of a vertical drill string. The results confirm the accuracy and efficiency of the method, while determining the optimal number of drill-string partitions.
Article
Nuclear Science & Technology
Xianping Zhong, Pengya Guo, Xiaolong Zhang, Muhammad Saeed, Haoran Ma, Jianqi Huang, Jiyang Yu
Summary: A lumped parameter nonlinear dynamic model for U-tube recirculation steam generator (UTSG) transient analysis is developed based on the conservation laws of mass, momentum and energy. The model divides UTSG into seven regions and is verified to be accurate and reliable through comparison with published models. This model can be used for the development of steam dump and bypass control system and as a simulation module for coupling with the primary loop system.
ANNALS OF NUCLEAR ENERGY
(2022)
Article
Energy & Fuels
Aldo Boglietti, Fabio Mandrile, Enrico Carpaneto, Mircea Popescu, Sandro Rubino, David Staton
Summary: This paper introduces a second-order thermal model for electrical machines, which is validated using AC tests after determining thermal parameters through DC tests. The proposed model shows high accuracy, with a maximum error below 3% during thermal transient, demonstrating its simplicity and effectiveness compared to a total enclosed fan cooled induction motor.
Article
Energy & Fuels
Xuan Tang, Xuezhe Wei, Haonan Zhang, Dongjian Li, Guangxu Zhang, Xueyuan Wang, Jiangong Zhu, Haifeng Dai
Summary: This study investigated the thermal runaway process of lithium-ion batteries using advanced techniques and developed a high precision thermal model to predict and explain the process. The main heating sources of thermal runaway were identified, and the sensitivity of resistance to certain reactions was highlighted. The findings provide insights into potential strategies to mitigate thermal runaway.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Geochemistry & Geophysics
Sitangshu Chatterjee, Archana S. Deodhar, Uday K. Sinha, Bishnu P. Biswal
Summary: Constraining the mean transit time of thermal waters in the Deccan volcanic region was analyzed using lumped parameter models, showing variations in mean transit times among different types of water samples.
APPLIED GEOCHEMISTRY
(2021)
Article
Thermodynamics
X. Wang, B. Li, D. Gerada, K. Huang, I Stone, S. Worrall, Y. Yan
Summary: The development of electric cars requires powerful electric motors, and effective thermal management is essential for the efficiency, durability, and safety of motors. This paper summarizes the latest thermal management methods, including air cooling and liquid cooling, and highlights heat transfer enhancement methods based on conduction.
APPLIED THERMAL ENGINEERING
(2022)
Article
Automation & Control Systems
Yashan Xing, Lucile Bernadet, Marc Torrell, Albert Tarancon, Ramon Costa-Castello, Jing Na
Summary: This paper proposes an offline tuning strategy and an online parameter estimation method for calibrating the solid oxide fuel cell mathematical model. The offline tuning strategy is designed to tune the model under various operation conditions using particle swarm optimization and gradient-based search methods. The online parameter estimation method employs an adaptive optimal learning law to minimize a cost function with estimation error information. Experimental verification is conducted on a practical solid oxide fuel cell test bench.
Article
Engineering, Mechanical
W. Zhang, L. Ma, Y. F. Zhang, K. Behdinan
Summary: This paper investigates the nonlinear and dual-parameter chaotic vibrations of the blisk structure under the combined influence of aerodynamic force and varying rotating speed. The study focuses on the free vibration, mode localization, and influence of different parameters on the amplitude-frequency response curves, bifurcation, and chaotic vibrations of the blisk. The numerical results demonstrate the relationship between the mistuning variable and mode localization factor, as well as the paths leading to chaos in the blisk.
NONLINEAR DYNAMICS
(2022)
Article
Chemistry, Analytical
Maher O. Al-Turk, Sajid Ali, Muhammad A. Hawwa
Summary: This study explores the nonlinear characteristics of a dual Helmholtz resonator and obtains numerical solutions. The bifurcation diagrams indicate that the dual Helmholtz resonator behaves deterministically within engineering practical limits, while the phase portraits show quasi-periodic motion. The frequency response curves reveal softening behavior at lower resonant frequencies and mostly linear behavior at higher resonant frequencies.
Article
Thermodynamics
Chun-Sheng Wang, Joshua Brinkerhoff
Summary: A low-cost lumped parameter model (LPM) is developed to simulate hydrogen storage in solid-state materials. By considering the whole storage system as a resistor-capacitor (RC) circuit with a current source and combining mass conservation, sorption kinetics, and equation of state, the LPM is capable of predicting key thermofluidic quantities with high accuracy at a fraction of the computational cost.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Emma Arfa Grunditz, Torbjorn Thiringer, Joachim Lindstrom, Sonja Tidblad Lundmark, Mikael Alatalo
Summary: The paper evaluates and quantifies the impact of varied stator slot size on the efficiency and thermal capability of a permanent magnet synchronous machine for an electric vehicle. By decreasing the slot size while keeping other dimensions fixed, core losses reduce, winding losses increase, and a higher maximum torque is reached.
Review
Thermodynamics
Jiayuan Lin, Xinhua Liu, Shen Li, Cheng Zhang, Shichun Yang
Summary: This article summarizes thermal management models from literature and categorizes multi-physical battery thermal management systems. Emergency battery thermal management methods are also discussed. A novel digital solution based on the CHAIN framework is proposed to improve temperature control strategy for EV power systems.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
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
Naga Kavitha Kommuri, Andrew McGordon, Antony Allen, Dinh Quang Truong
Summary: This paper proposes a novel adaptive equivalent fuel consumption minimisation strategy for hybrid vehicles, which predicts drive cycles and adjusts equivalence factors to improve fuel economy. The results showed significant improvement in fuel savings compared to traditional methods.
Review
Energy & Fuels
Yulong Zhang, Fengwei Liang, Shen Li, Cheng Zhang, Shifang Zhang, Xinhua Liu, Shupeng Zhao, Shichun Yang, Yuhua Xia, Jiayuan Lin, Bin Guo, Hanchao Cheng, Mingyue Wang, Meng Jiang, Dan Wang
Summary: This paper provides a comprehensive review of key technologies in the battery thermal management system (BTMS) and proposes a digital solution to enhance battery system performance. It discusses heat generation mechanisms, thermal models, and various cooling methods. Additionally, it introduces new approaches for temperature control strategies and presents a novel design scheme for the BTMS.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Cheng Zhang, Yue Guo, Chongming Wang, Shen Li, Oliver Curnick, Tazdin Amietszajew, Rohit Bhagat
Summary: This paper proposes a novel DoE method that combines partial discharge test and deep discharge test to improve the accuracy of equivalent circuit models for lithium-ion batteries. Experimental results show that the new method can significantly reduce the root mean square error and improve the accuracy of SoC estimation compared to traditional DoE methods.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Engineering, Electrical & Electronic
Rui Cao, Hanchao Cheng, Xuefeng Jia, Xinlei Gao, Zhengjie Zhang, Mingyue Wang, Shen Li, Cheng Zhang, Bin Ma, Xinhua Liu, Shichun Yang
Summary: This paper summarizes the non-invasive characteristic curve analysis for lithium-ion batteries and its applications in exploring battery aging mechanism and constructing data-driven models. The recent progress and applications of characteristic curves are discussed, along with the value of battery CCA in cloud-based battery management platforms.
AUTOMOTIVE INNOVATION
(2022)
Article
Electrochemistry
Danial Sarwar, Chongming Wang, Tazdin Amietszajew, Cheng Zhang, Chitta Saha, Oliver Curnick
Summary: This study investigates the effects of temperature and state-of-charge (SOC) on NFRA measurements, and the feasibility of using THD% as a capacity fade indicator. The results show a good correlation between THD% in the range of 10 Hz-150 Hz and SOH, and the aging effect on THD% for frequency < 1 Hz is dependent on SOC.
ELECTROCHEMISTRY COMMUNICATIONS
(2022)
Article
Energy & Fuels
Cheng Zhang, Tazdin Amietszajew, Shen Li, Monica Marinescu, Gregory Offer, Chongming Wang, Yue Guo, Rohit Bhagat
Summary: Equivalent circuit models (ECMs) are widely used for capturing the electrical behavior of lithium-ion batteries (LIBs). However, conventional ECMs cannot capture the internal states of the battery, such as the negative electrode (NE) potential. This paper proposes an easy-to-implement framework for real-time estimation of the NE potential of LIBs.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Energy & Fuels
Shichun Yang, Jiayuan Lin, Zhengjie Zhang, Cheng Zhang, Xu Zheng, Wentao Xie, Lijing Wang, Siyan Chen, Xinhua Liu
Summary: This paper reviews the various refrigeration materials used in the battery thermal management system of electric vehicles, summarizes their thermal properties, and analyzes innovative ways to improve cooling efficiency. It also examines different methods to enhance battery thermal performance by modifying electrode, separator, and electrolyte materials.
FRONTIERS IN ENERGY RESEARCH
(2022)
Review
Energy & Fuels
Shichun Yang, Zhengjie Zhang, Jiayuan Lin, Lisheng Zhang, Lijing Wang, Siyan Chen, Cheng Zhang, Xinhua Liu
Summary: This article provides an overview of the recent progress in solid-state lithium-sulfur batteries, including their fundamentals, current status, and various solid-state electrolytes used. It also discusses future perspectives for the development of solid-state lithium-sulfur batteries and suggests new research activities to design practical batteries.
FRONTIERS IN ENERGY RESEARCH
(2022)
Review
Materials Science, Multidisciplinary
Bin Ma, Han-Qing Yu, Lu-Hua Yang, Qi Liu, Hai-Cheng Xie, Si-Yan Chen, Zheng-Jie Zhang, Cheng Zhang, Li-Sheng Zhang, Wen-Tao Wang, Xin-Hua Liu
Summary: This paper proposes a method for realizing multi-scale modeling based on a cyber hierarchy and interactional network framework, and introduces a novel battery management system composed of hierarchies of side, edge and cloud to solve the problem of limited computing capability of conventional systems.
Article
Chemistry, Applied
Lisheng Zhang, Siyan Chen, Wentao Wang, Hanqing Yu, Haicheng Xie, Huizhi Wang, Shichun Yang, Cheng Zhang, Xinhua Liu
Summary: The increasing demand for lithium-based battery production due to the popularity of electric vehicles is driving the need for improvements in the safety of lithium metal batteries and lithium ion batteries. This paper proposes an electrochemical model that considers both internal and external factors to understand the dendrite growth process. The study suggests that controlling factors such as solid electrolyte interphase (SEI) porosity, thickness, and external conditions can regulate dendrite growth. Additionally, the paper proposes three competition mechanisms to tailor lithium deposition for Li-based batteries and presents a three-step process for understanding the kinetic process of lithium deposition.
JOURNAL OF ENERGY CHEMISTRY
(2022)
Article
Energy & Fuels
Bosong Zou, Huijie Wang, Tianyi Zhang, Mengyu Xiong, Chang Xiong, Qi Sun, Wentao Wang, Lisheng Zhang, Cheng Zhang, Haijun Ruan
Summary: Accurate estimation of State of Health (SOH) for lithium-ion batteries is essential for their safe and reliable operation. This paper proposes a data-driven method leveraging Bi-directional Long Short-Term Memory (Bi-LSTM) and Differential Thermal Voltammetry (DTV) analysis to extract features, and incorporates attention mechanisms (AM) at both temporal and spatial scales. The proposed method achieves high accuracy and robustness in SOH estimation, with RMSE and MAE around 0.4% and 0.3% respectively. Potential for online application in the CHAIN framework is indicated.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Energy & Fuels
Shen Li, Mohamed Waseem Marzook, Cheng Zhang, Gregory J. Offer, Monica Marinescu
Summary: The demand for large format lithium-ion batteries is increasing due to easier integration and control at a system level. However, there is a risk of overheating with increased size. 1865 and 2170 cylindrical cells can be cooled efficiently either through the base or the side. Large format 4680 cylindrical cells have gained popularity after Tesla filed a patent, highlighting the importance of understanding thermal management for their widespread use.
Review
Electrochemistry
Kaiyi Yang, Lisheng Zhang, Zhengjie Zhang, Hanqing Yu, Wentao Wang, Mengzheng Ouyang, Cheng Zhang, Qi Sun, Xiaoyu Yan, Shichun Yang, Xinhua Liu
Summary: Lithium-ion batteries are widely used in commercial and industrial applications due to their high energy/power density, reliability, and long service life. Estimating the state of health (SOH) of batteries is crucial for safety, energy efficiency, and battery life-cycle management. This paper provides a comprehensive review of SOH estimation methods, including experimental approaches, model-based methods, and machine learning algorithms. It analyzes the advantages and limitations of each method and emphasizes the potential of a knowledge graph-based framework for battery data management and intelligent battery management systems.
Article
Thermodynamics
Hai Zhao, Puzhen Gao, Xiaochang Li, Ruifeng Tian, Hongyang Wei, Sichao Tan
Summary: This study numerically investigates the interaction between flow-induced vibration and forced convection heat transfer in a tube bundle. The results show that the impact of flow-induced vibration on heat transfer varies in different flow velocity regions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rohit Chintala, Jon Winkler, Sugirdhalakshmi Ramaraj, Xin Jin
Summary: The current state of fault detection and diagnosis for residential air-conditioning systems is expensive and not suitable for widespread implementation. This paper proposes a cost-effective solution by introducing an automated fault detection algorithm as a screening step before more expensive tests can be conducted. The algorithm uses home thermostats and local weather information to identify thermodynamic parameters and detect high-impact air-conditioning faults.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
A. Azimi, N. Basiri, M. Eslami
Summary: This paper presents a novel optimization algorithm for improving the water-film cooling system of photovoltaic panels, resulting in a significant increase in net energy generation.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Duc-Thuan Phung, Chin-Hsiang Cheng
Summary: In this study, a novel CFDMD model is used to analyze and investigate the behavior of thermal-lag engines (TLE). The study shows that the CFDMD model effectively captures the thermodynamic behavior of the working gas and the dynamic behavior of the engine mechanism. Additionally, the study explores the temporal evolution of engine speed and the influence of various parameters on shaft power and brake thermal efficiency. The research also reveals the existence of a thermal-lag phenomenon in TLE.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Haiying Yang, Yinjie Shen, Lin Li, Yichen Pan, Ping Yang
Summary: The purpose of this article is to find a measure to improve the interfacial thermal transfer of graphene/silicon heterojunction. Through molecular dynamics simulation, it is found that surface modification can significantly reduce the thermal resistance, thereby improving the thermal conductivity of the graphene/silicon interface.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Qiong Wu, Yancheng Wang, Haonan Zhou, Xingye Qiu, Deqing Mei
Summary: This article introduces a visible methanol steam reforming microreactor, which uses an optical crystal as an observation window and measures the reaction temperature in real-time using infrared thermography. The results show that under lower oxygen to carbon ratio conditions, the microreactor has a higher heating rate and a stable gradient in temperature distribution.
APPLIED THERMAL ENGINEERING
(2024)
Review
Thermodynamics
Giulia Manco, Umberto Tesio, Elisa Guelpa, Vittorio Verda
Summary: In the past decade, there has been a growing interest in studying energy systems for the combined management of power vectors. Most of the published works focus on finding the optimal design and operations of Multi Energy Systems (MES). However, for newcomers to this field, understanding how to achieve the desired optimization details while controlling computational expenses can be challenging and time-consuming. This paper presents a novel approach to analyzing the existing literature on MES, with the aim of guiding practical development of MES optimization. Through the discussion of six case studies, the authors provide a mathematical formulation as a reference for building the model and emphasize the impact of different aspects on the problem nature and solver selection. In addition, the paper also discusses the different approaches used in the literature for incorporating thermal networks and storage in the optimization of multi-energy systems.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xuepeng Yuan, Caiman Yan, Yunxian Huang, Yong Tang, Shiwei Zhang, Gong Chen
Summary: In this study, a multi-scale microgroove wick (MSMGW) was developed by laser irradiation, which demonstrated superior capillary performance. The surface morphology and performance of the wick were affected by laser scan pitch, laser power, repetition frequency, and scanning speed. The MSMGW showed optimal capillary performance in alumina material and DI water as the working fluid.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Maofei Mei, Feng Hu, Chong Han
Summary: This paper proposes an effective local search method based on detection of droplet boundaries for understanding the dynamic process of droplet growth during dropwise condensation. The method is validated by comparing with experimental data. The present simulation provides an effective approach to more accurately predict the nucleation site density in future studies.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Rahul Kumar Sharma, Ashish Kumar, Dibakar Rakshit
Summary: The study explores the use of phase change materials (PCM) as a retrofit with Heating Ventilation and Air-conditioning systems (HVAC) to reduce energy consumption and improve air quality. By incorporating PCM with specific thickness and fin configurations, significant energy savings can be achieved in comparison to standard HVAC systems utilizing R134a. This research provides policymakers with energy-efficient and sustainable solutions for HVAC systems to combat climate change.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Zhenhua Ren, Xiangjin Meng, Xingang Qi, Hui Jin, Yunan Chen, Bin Chen, Liejin Guo
Summary: This paper investigates the heat transfer mechanism and factors influencing thermal radiation in the process of supercritical water gasification (SCWG) of coal, and proposes a comprehensive numerical model to simulate the process. Experimental validation results show that thermal radiation accounts for a significant proportion of the total heat exchange in the reactor and a large amount of radiant energy exists in the important spectral range of supercritical water. Enhancing radiative heat transfer can effectively increase the temperature of the reaction medium and the gasification rate.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Mauro Abela, Mauro Mameli, Sauro Filippeschi, Brent S. Taft
Summary: Pulsating Heat Pipes (PHP) are passive two-phase heat transfer devices with a simple structure and high heat transfer capabilities. The actual unpredictability of their dynamic behavior during startup and thermal crisis hinders their large-scale application. An experimental apparatus is designed to investigate these phenomena systematically. The results show that increasing the number of evaporator sections and condenser temperature improves the performance of PHP. The condenser temperature also affects the initial liquid phase distribution and startup time.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Ke Gan, Ruilian Li, Yi Zheng, Hui Xu, Ying Gao, Jiajie Qian, Ziming Wei, Bin Kong, Hong Zhang
Summary: A 3-dimensional enhanced heat pipe radiator has been developed to improve heat dissipation and temperature uniformity in cooling high-power electronic components. Experimental results show that the radiator has superior heat transfer performance compared to a conventional aluminum fin radiator under different heating powers and wind speed conditions.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xinyi Zhang, Shuzhong Wang, Daihui Jiang, Zhiqiang Wu
Summary: This study focuses on recovering waste heat from blast furnace slag using dry centrifugal pelletizing technology. A comprehensive two-dimensional model was developed to analyze heat transfer dynamics and investigate factors influencing heat exchange efficiency. The findings have important implications for optimizing waste heat recovery and ensuring safe operations.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Xincheng Wu, An Zou, Qiang Zhang, Zhaoguang Wang
Summary: The boosting heat generation rate of high-performance processors is challenging traditional cooling techniques. This study proposes a combined design of active jet intermittency and passive surface modification to enhance heat transfer.
APPLIED THERMAL ENGINEERING
(2024)
