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Research on overcharge thermal runaway behavior analysis and early warning algorithm of ternary lithium battery pack

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JOURNAL OF APPLIED ELECTROCHEMISTRY 2025年第2期55卷 273-288页

作者： He, Xingfeng Du, Jianhua Yang, Shizhi Cao, Xin Qu, Chang Ou, Yingjie Wang, Jiabin Xiong, Leji Tu, Ran Huaqiao Univ Coll Mech Engn & Automat Xiamen 361021 Fujian Peoples R China Huaqiao Univ Key Lab Proc Monitoring & Syst Optimizat Mech & E Xiamen 361021 Fujian Peoples R China

During the charging process, lithium-ion batteries may experience thermal runaway due to the failure of overcharging protection mechanisms, posing a significant fire hazard. This work by analyzing the evolution of surface temperature, space temperature, and voltage of ternary lithium battery pack under different overcharging rates, a three-level early warning algorithm and device for thermal runaway of ternary lithium battery pack were developed. The results revealed that the entire thermal runaway process can be divided into three stages: early, middle, and late, based on the variations in batteries' physical morphology, voltage, and temperature. Under identical initial conditions, the internal chemical reactions within the battery became more intense with the increasing charging rate, resulting in an earlier occurrence of thermal runaway. Ultimately, through testing and validation, the designed three-level warning algorithm proved capable of accurately assessing overcharging conditions in lithium batteries and issuing warnings in the early stages of thermal runaway. This work provided crucial references for enhancing the monitoring and warning capabilities of the battery management system.

关键词： Lithium-ion battery Thermal runaway Spatial temperature warning algorithm Overcharge

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A Novel Rear-End Collision warning algorithm in VANET 8

A Novel Rear-End Collision Warning Algorithm in VANET

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8th IEEE International Conference on Communication Software and Networks (ICCSN)

作者： Lv, Hexin Xu, Ping Chen, Huafeng Zhou, Binbin Ren, Tiaojuan Chen, Yourong Zhejiang Shuren Univ Coll Informat & Sci Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781509017812

We develop a novel algorithm to implement collision warning to avoid traffic rear-end accidents, in which one vehicle would hit the vehicle running in front. Real-time traffic risk would be computed and the drivers would get informed the warning message. The experiments results show that our algorithm can have effective influence on this problem.

关键词： collision warning rear-end collision warning algorithm

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A Novel Rear-End Collision warning algorithm in VANET

A Novel Rear-End Collision Warning Algorithm in VANET

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2016 8th IEEE International Conference on Communication Software and Networks(ICCSN 2016)

作者： Hexin Lv Ping Xu Huafeng Chen Binbin Zhou Tiaojuan Ren Yourong Chen College of Information and Science Technology Zhejiang Shuren University

We develop a novel algorithm to implement collision warning to avoid traffic rear-end accidents,in which one vehicle would hit the vehicle running in ***-time traffic risk would be computed and the drivers would get i... 详细信息

关键词： collision warning rear-end collision warning algorithm

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Seismic Signal warning and Classification algorithm Based on Noise and Improved Zero Crossing

Seismic Signal Warning and Classification Algorithm Based on...

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2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2015)

作者： Yuxiao Tan Guanglin He Hai Pan Department of Mechatronical Engineering Beijing Institute of Technology Pan Hai Huaihai Industry Group Co.LTD

ISBN: (纸本)9781510806481

Seismic signal generated by moving on ground by person and vehicle target is sensed by MEMS accelerometer, then collected and processed by MSP430, achieving early-warming and target identification of ground targets. A seismic signal warning algorithm based on the characteristics of noise is proposed as to early-warming and a seismic signal target classification algorithm based on improved zero crossing is used to identify different kind of targets. The results show that person within 8 meters and vehicles within 20 meters away from the accelerometer can be detected and identified effectively. The correct identification rate can reach 85% or more. This algorithm is very simple and practical when processing signal collected by sensors with digital output.

关键词： Seismic signal Zero Crossing warning algorithm target identification

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Study of Safety warning algorithm Based on the V2V Communication Network

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2nd International Conference on Mechatronics and Control Engineering (ICMCE 2013)

作者： Xu, Yinan Wu, Fei Yanbian Univ Div Elect & Commun Engn Yanji Jilin Province Peoples R China

ISBN: (纸本)9783037858943

In recent years, the rate of the highway traffic accident remains high, with rear-end collisions accounted for more than 75%. In order to. effectively reduce the incidence of rear-end collisions, this paper proposes a safety warning algorithm based on relative speeds among vehicles approaching an intersection from different directions. This algorithm relies on the GPS navigation system to obtain vehicles position and speed information, calculates the relative angle information between vehicles, and uses the information to calculate the safety distance between vehicles to determine the relationship between the safe distance and the time to collision, and to choose a proper alert system. The safety warning algorithm was implemented, simulated and verified under Matlab environment with the considerations of the influences of all kinds of road environment added to the system. The method and the algorithm proposed in this research has the advantages of broader applications in many V2V communication network systems for automobile or pilotless automobile and robot systems, and less and more efficient computation. The developed system based on the proposed research is more adaptive, safer with better fault tolerance compared with other systems.

关键词： Vehicle to Vehicle Communication warning algorithm Collision Distance DSRC

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Real-Time Server Overloaded Monitoring algorithm Using Back Propagation Artificial Neural Network 7

Real-Time Server Overloaded Monitoring Algorithm Using Back ...

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7th IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC)

作者： Choi, Jongouk Shen, Chi Hannemann, Jens Bhattacharyya, Siddhartha Kentucky State Univ Dept Comp Sci Frankfort KY 40601 USA Florida Inst Technol Dept Comp Sci Melbourne FL 32901 USA

ISBN: (纸本)9781509042289

In recent years, downtime and information loss problems of server computers have become more critical. Even if a server has antivirus and CPU overload checking programs, it may occasionally be broken or slowed down. Hypothetically, there are possible indications of the problems under specific external situations such as high temperature, low fan speed, and extreme main board vibration. In order to recognize the correlation between external conditions and the overloaded problems, a monitoring computer collects data from external sensors. By using an accelerometer, an anemometer, and a temperature sensor, the monitoring algorithm is able to predict the target computer's status. A web application has been developed to help server managers to remotely know how server computers are operating. This paper proposes a monitoring algorithm to diagnose server overload for a target computer, based on the Fast Fourier Transform, multivariate linear regression, and learning algorithms. As a result, this paper suggests that a monitoring algorithm can be implemented with an artificial neural network that warns of possible malfunction cases.

关键词： Server Overloaded Computer Stress Triaxis accelerometer Anemometer Temperature Sensor Fast Fourier Transform Multivariate Linear Regression Back Propagation Machine Learning Artificial Neural Network Classification Prediction algorithm warning algorithm

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An Adaptive Vehicle Rear-End Collision warning algorithm Based on Neural Network

An Adaptive Vehicle Rear-End Collision Warning Algorithm Bas...

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International Conference on Computing, Information and Control (ICCIC 2011)

作者： Wei, Zhou Xiang, Song Xuan, Dong Xu, Li Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Communication Research Institute of Highway Ministry of Communications Beijing China School of Instrument Science and Engineering Southeast University NanJing China

ISBN: (纸本)9783642240966

Most of the existing algorithms of vehicle rear-end collision have poor adaptive, high false alarm and missed alarm rates. A two-level early warning model based on logic algorithm of safe distance is discussed. The influence of road conditions, driver status and vehicle performance on the warning distance of rear-end collision in the driving process is analyzed. And for different driving conditions, a warning algorithm of vehicle rear-end collision based on neural network with adaptive threshold which can adapt to different status of the three main elements, human-vehicle-road is proposed. Also the comparison of the warning distance whether using adaptive strategies for the rear-end collision algorithm through changing the real-time status of human-vehicle-road is presented The result of the simulation shows that the algorithm proposed is self-adaptive to the warning distance and region, and the feasibility of the algorithm is verified.

关键词： rear-end collision adaptive warning algorithm nerual network

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An Adaptive Vehicle Rear-End Collision warning algorithm Based on Neural Network

An Adaptive Vehicle Rear-End Collision Warning Algorithm Bas...

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The 2011 International Conference on Computing,Information and Control(ICCIC 2011)

作者： Zhou Wei Song Xiang Dong Xuan Li Xu Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Communication PRCResearch Institute of Highway Ministry of Communications School of Instrument Science and Engineering Southeast University

Most of the existing algorithms of vehicle rear-end collision have poor adaptive, high false alarm and missed alarm rates. A two-level early warning model based on logic algorithm of safe distance is discussed. The influence of road conditions, driver status and vehicle performance on the warning distance of rear-end collision in the driving process is analyzed. And for different driving conditions, a warning algorithm of vehicle rear-end collision based on neural network with adaptive threshold which can adapt to different status of the three main elements, human-vehicle-road is proposed. Also the comparison of the warning distance whether using adaptive strategies for the rear-end collision algorithm through changing the real-time status of human-vehicle-road is *** result of the simulation shows that the algorithm proposed is self-adaptive to the warning distance and region, and the feasibility of the algorithm is verified.

关键词： rear-end collision adaptive warning algorithm nerual network

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A location based service approach for collision warning systems in concrete dam construction

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SAFETY SCIENCE 2013年第1期51卷 338-346页

作者： Wu, Hao Tao, Jing Li, Xinping Chi, Xiuwen Li, Hua Hua, Xianghong Yang, Ronghua Wang, Sheng Chen, Nan Wuhan Univ Technol Sch Resources & Environm Engn Wuhan 430070 Peoples R China Wuhan Univ Technol Key Lab Roadway Bridge & Struct Engn Hubei Prov Wuhan 430070 Peoples R China Wuhan Univ Sch Geodesy & Geomat Wuhan 430079 Peoples R China Chongqing Univ Sch Civil Engn Chongqing 400044 Peoples R China Wuhan Univ Technol Sch Informat Engn Wuhan 430070 Peoples R China

This paper describes a location based service approach for the prevention of large haulage equipment collision accidents involving concrete buckets during dam construction phase. A review has been provided on the background relating to common collision avoidance on construction sites. It is of upmost importance to establish a collision warning system in a pro-active real-time mode for the specific environment of dam construction. The location based service combines wireless communications, GPS and GIS technologies for a continuous operation to address this problem. A system design is proposed with a location based defined function. In this paper, the design algorithms for warning and guiding in different operation modes are detailed and discussed. They are formulated to automatically detect any potential hazards, alert drivers, thereby avoiding collision, and to provide reliable navigation. A set of preliminary tests show that the system prototype is a feasible option in fulfilling the collision warning function, as well as a practicable option when linked with automation and visualization in the dam construction process. Development of such an integrated technology assisted location based service approach to a collision warning system has a significant impact on the application of the safety systems on construction sites, and also promotes efficiency management in the project. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Dam concrete construction Collision warning system Location based service warning algorithm Guiding algorithm

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Examination of Driver Lane Change Behavior and the Potential Effectiveness of warning Onset Rules for Lane Change or "Side" Crash Avoidance Systems

Examination of Driver Lane Change Behavior and the Potential...

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作者： Hetrick, Shannon Virginia Tech | University

Lane change or "Side" Crash Avoidance Systems (SCAS) technologies are becoming available to help alleviate the lane change crash problem. They detect lane change crash hazards and warn the driver of the presence of such hazards. This thesis examines driver lane change behavior and evaluates the potential effectiveness of five warning onset rules for lane change or "side" crash avoidance system (SCAS) technologies. The ideal SCAS should warn the driver only when two conditions are met: (1) positive indication of lane change intent and (2) positive detection of a proximal vehicle in the adjacent lane of concern. Together, these two conditions create a crash hazard. The development of SCAS technologies depends largely on an understanding of driver behavior and performance during lane change maneuvers. By quantifying lane change behavior, real world crash hazard scenarios can be simulated. This provides an opportunity to evaluate potential warning onset rules or algorithms of driver intent to change lanes. Five warning onset rules for SCAS were evaluated: turn-signal onset (TSO), minimum separation (MS), line crossing (LC), time-to-line crossing (TLC), and tolerance limit (TL). The effectiveness of each rule was measured by the maximum response time available (tavailable) to avoid a crash for a particular lane change crash scenario, and by the crash outcome, crashed or crash avoided, of a particular lane change crash scenario.

关键词： lane change crash avoidance coutermeasure warning algorithm warning onset SCAS Thesis

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