|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Comprehensive Approach for the Clustering of Similar-Performance Cells for the Design of a Lithium-Ion Battery Module for Electric Vehicles显示文摘An energy-storage system comprised of lithium-ion battery modules is considered to be a core component of new energy vehicles,as it provides the main power source for the transmission system.However,manufacturing defects in battery modules lead to variations in performance among the cells used in series or parallel configuration.This variation results in incomplete charge and discharge of batteries and non-uniform temperature distribution,which further lead to reduction of cycle life and battery capacity over time.To solve this problem,this work uses experimental and numerical methods to conduct a comprehensive investigation on the clustering of battery cells with similar performance in order to produce a battery module with improved electrochemical performance.Experiments were first performed by dismantling battery modules for the measurement of performance parameters.The kmeans clustering and support vector clustering(SVC)algorithms were then employed to produce battery modules composed of 12 cells each.Experimental verification of the results obtained from the clustering analysis was performed by measuring the temperature rise in the cells over a certain period,while air cooling was provided.It was found that the SVC-clustered battery module in Category 3 exhibited the best performance,with a maximum observed temperature of 32℃.By contrast,the maximum observed temperatures of the other battery modules were higher,at 40℃for Category 1(manufacturer),36℃for Category 2(manufacturer),and 35℃for Category 4(k-means-clustered battery module). | Wei Li Siqi Chen Xiongbin Peng Mi Xiao Liang Gao Akhil Garg Nengsheng Bao | 2019 | Engineering2019，5，4： | 4 |
| 2 | A Fast Charging–Cooling Coupled Scheduling Method for a Liquid Cooling-Based Thermal Management System for Lithium-Ion Batteries显示文摘Efficient fast-charging technology is necessary for the extension of the driving range of electric vehicles.However,lithium-ion cells generate immense heat at high-current charging rates.In order to address this problem,an efficient fast charging–cooling scheduling method is urgently needed.In this study,a liquid cooling-based thermal management system equipped with mini-channels was designed for the fastcharging process of a lithium-ion battery module.A neural network-based regression model was proposed based on 81 sets of experimental data,which consisted of three sub-models and considered three outputs:maximum temperature,temperature standard deviation,and energy consumption.Each sub-model had a desirable testing accuracy(99.353%,97.332%,and 98.381%)after training.The regression model was employed to predict all three outputs among a full dataset,which combined different charging current rates(0.5C,1C,1.5C,2C,and 2.5C(1C=5 A))at three different charging stages,and a range of coolant rates(0.0006,0.0012,and 0.0018 kg·s^(-1)).An optimal charging–cooling schedule was selected from the predicted dataset and was validated by the experiments.The results indicated that the battery module’s state of charge value increased by 0.5 after 15 min,with an energy consumption lower than 0.02 J.The maximum temperature and temperature standard deviation could be controlled within 33.35 and 0.8C,respectively.The approach described herein can be used by the electric vehicles industry in real fast-charging conditions.Moreover,optimal fast charging-cooling schedule can be predicted based on the experimental data obtained,that in turn,can significantly improve the efficiency of the charging process design as well as control energy consumption during cooling. | Siqi Chen Nengsheng Bao Akhil Garg Xiongbin Peng Liang Gao | 2021 | Engineering2021，7，8： | 3 |
| 3 | Analytical approach to robust design of nonlinear mechanical systems显示文摘 | Zhang Jian Bao Nengsheng Bao Guojun | 2009 | Frontiers of Mechanical Engineering in China2009，4，2： | 1 |
| 4 | Structure dynamic analysis of a horizontal axis wind turbine system using a modal analysis method 显示文摘 | Ye Zhiquan Ma Haomin Bao Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
| 5 | Structure Dynamic Analysis of a Horizontal Axis Wind Turbine System using a Modal Analysis Method显示文摘 | Ma Haomin Bao Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
| 6 | Structure dynamic analysis of a horizontal axis wind turbine system using a modal analysis method显示文摘 | Ye Zhiquan Ma Haomin Bao Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
| 7 | Experimental study of wind turbine blade power augmentation using airfoil flaps,including the gumey flap显示文摘 | Bao Nengsheng Ma Haoming | 2000 | Wind Engineering2000，24，1： | 1 |
| 8 | Structure dynamic analysis of a hori- zontal axis wind turbine system using a modal analysis method显示文摘 | Ye Zhiquan Ma Haomin Bao Nengsheng | 2001 | Wind engineering2001，25，： | 1 |
| 9 | Analytical Approach to Robust Design of Nonlinear Mechanical Systems显示文摘 | Zhang Jian Bao Nengsheng Zhang Guojun | 2009 | Frontiers of Mechanical Engineering in China2009，4，2： | 1 |
| 10 | Structure dynamic analysis of a horizontal axis wind turbine system using a modal analysis method显示文摘 | Ye Zhiquan Ma Haomin Bao Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
| 11 | Structure dynamic analysis of a horizontal axis wind turbine system using a modal analysis method显示文摘 | YE ZHIQUAN MA HAOMIN BAO NENGSHENG et a/ | 2001 | Wind Engineering2001，25，4： | 1 |
| 12 | Structure dynamic analysis of a horizontal axis wind turbine system using a modal analysis method显示文摘 | YE Zhiquan MA Haomin BAO Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
| 13 | Analytical approach to robust design of nonlinear mechanical systems 显示文摘 | Zhang Jian Bao Nengsheng Zhang Guojun | 2009 | Frontiers of Mechanical Engineering in China2009，4，2： | 1 |
| 14 | Structure dynamic analysis of a horzontal axis wind turbine system using a modal analysis method 显示文摘 | Ye Zhiquan Ma Haomin Bao Nengsheng | 2001 | Wind Engineering2001，25，4： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员