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Effect of preload force on Heat Generation of Li(Ni_(0.8)Co_(0.1)Mn_(0.1))O_(2)/SiO_(x)-C System Batteries:The Discharge Process

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Journal of Thermal Science 2024年第5期33卷 1809-1825页

作者： LIN Chunjing LAI Zhenxing BAI Guangli MA Biao WEI Zhen QI Chuang LIU Shiqiang Key Laboratory of Advanced Manufacturing Technology for Automobile Parts Ministry of EducationChongqing University of TechnologyChongqing 400054China China Auto Research New Energy Vehicle Inspection Center(Tianjin)Co Tianjin 300300China

Lithium-ion batteries(LIBs)undergo various degradation phenomena such as material decomposition,structural change and uneven lithium ion distribution during long-term cycles,which would affect their performance and *** order to improve the performance of the LIBs during their life cycle,preload force is preset when the batteries are *** preload forces will in turn affect the cycle life and heat generation of the *** order to address this issue,this work carries out charge/discharge cycle tests on a NCM811 battery under different preload *** calorimetry tests are performed to investigate the battery heat generation under different states of health(SOHs)and preload *** on the test results,an empirical prediction model for heat generation power as a function of SOH is *** show that when the preload force is 5 N·m,the battery capacity decreases in the slowest rate and the average heat generation power is the *** in peaks of the incremental capacity curve can be used to characterize the loss of lithium at the electrode,which in turn characterizes the change of heat generation power of the *** average heat generation power is mainly affected by the SOH,going through a period of trough with the decrease of the SOH and continuing to increase after crossing the critical *** general,these findings emphasize the relationship between preload force,SOH and heat generation power,which is helpful for the judgment of optimal preload to improve the efficiency of LIBs.

关键词： lithium ion battery cyclic aging preload force heat generation characteristic

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Effect of preload force on heat generation of fatigue crack in ultrasonic infrared thermography

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Journal of Central South University 2022年第6期29卷 1906-1915页

作者： YANG Zheng-wei KOU Guang-jie ZHOUWei ZHANGWei WANG Zhen LIU Jun-li LI Yin School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China Xi’an Research Institute of High Technology Xi’an 710025China China Aerodynamics Research and Development Center(CARDC) Mianyang 621000China

The heat generation behaviors of fatigue crack are deeply investigated under different preload forces combing numerical simulation and ***,a multi-contact simulation model is applied to stimulate the crack surfaces contact and the horn-sample contact under ultrasonic excitation for calculating the temperature ***,the ultrasonic infrared thermography testing and the microscope testing are carried out for the heat generation and the plastic deformation behaviors of crack region under different preload *** this basis,an indirect observation method based on dots distribution is proposed to estimate the plastic deformation on crack contact *** obtained results show that the temperature rise of crack region increases with the increase of preload force when the preload force is less than 250 N,while the temperature rise rapidly declines due to the plastic deformation on crack contact surfaces and the inhibition effect when the preload force is 280 ***,the plastic deformation does not lead to the crack propagation,but reduces the detection repeatability of fatigue *** work provides an effective method for optimizing testing conditions in practical testing processes,which will be helpful to the establishment of testing standards for batches of test objects in ultrasonic infrared thermography testing.

关键词： ultrasonic infrared thermography preload force heat generation fatigue crack dots distribution

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Effect of preload forces on multidimensional signal dynamic behaviours for battery early safety warning

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Journal of Energy Chemistry 2024年第5期92卷 484-498页

作者： Kuijie Li Jiahua Li Xinlei Gao Yao Lu Depeng Wang Weixin Zhang Weixiong Wu Xuebing Han Yuan-cheng Cao Languang Lu Jinyu Wen Shijie Cheng Minggao Ouyang School of Electrical and Electronic Engineering Huazhong University of Science and TechnologyWuhan 430074HubeiChina State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China Energy and Electricity Research Center Jinan UniversityZhuhai 519070GuangdongChina Department of Mechanical Engineering Imperial College LondonLondon.SW7:2AZ.UK

Providing early safety warning for batteries in real-world applications is *** this study,comprehensive thermal abuse experiments are conducted to clarify the multidimensional signal evolution of battery failure under various preload *** time-sequence relationship among expansion force,voltage,and temperature during thermal abuse under five categorised stages is *** characteristic peaks are identified for the expansion force,which correspond to venting,internal short-circuiting,and thermal *** particular,an abnormal expansion force signal can be detected at temperatures as low as 42.4°C,followed by battery thermal runaway in approximately 6.5 ***,reducing the preload force can improve the effectiveness of the early-warning method via the expansion ***,reducing the preload force from 6000 to 1000 N prolongs the warning time(i.e.,227 to 398 s)before thermal runaway is *** on the results,a notable expansion force early-warning method is proposed that can successfully enable early safety warning approximately 375 s ahead of battery thermal runaway and effectively prevent failure propagation with module *** study provides a practical reference for the development of timely and accurate early-warning strategies as well as guidance for the design of safer battery systems.

关键词： Lithium-ion battery Thermal runaway preload force Expansionforce Early warning Multidimensional signal

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Research on Optimal preload Method of Controllable Rolling Bearing Based on Multisensor Fusion

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3329-3352页

作者： Kuosheng Jiang Chengrui Han Yasheng Chang School of Mechanical and Electrical Engineering Anhui University of Science and TechnologyHuainan232001China School of Optical and Electronic Information Suzhou City University&Suzhou Key Laboratory of BiophotonicsSuzhou215104China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an710054China

Angular contact ball bearings have been widely used in machine tool spindles,and the bearing preload plays an important role in the performance of the *** order to solve the problems of the traditional optimal preload prediction method limited by actual conditions and uncertainties,a roller bearing preload test method based on the improved D-S evidence theorymulti-sensor fusion method was ***,a novel controllable preload system is proposed and ***,multiple sensors are employed to collect data on the bearing parameters during preload ***,a multisensor fusion algorithm is used to make predictions,and a neural network is used to optimize the fitting of the preload *** limitations of conventional preload testing methods are identified,and the integration of complementary information frommultiple sensors is used to achieve accurate predictions,offering valuable insights into the optimal preload *** results demonstrate that the multi-sensor fusion approach outperforms traditional methods in accurately measuring the optimal preload for rolling bearings.

关键词： Multi-sensor information fusion neural network preload force

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