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Journal of Renewable Materials 2023年第2期11卷 707-730页

作者： Gang Wu Feng Liu Sijie Li Na Luo Zhiqiang Liu Yuqaing Li Changsha University of Science&Technolog Changsha410114China Hunan Province Key Laboratory of Intelligent Manufacturing Technology for High-Performance Mechanical Equipment Changsha410114China Central South University Changsha410083China

The serpentine tube liquid cooling and composite PCM coupled cooling thermal management system is designed for 18650 cylindrical power batteries,with the maximum temperature and temperature difference of the power pack within the optimal temperature operating range as the *** initial analysis of the battery pack at a 5C discharge rate,the influence of the single cell to cooling tube distance,the number of cooling tubes,inlet coolant temperature,the coolant flow rate,and other factors on the heat dissipation performance of the battery pack,initially determined a reasonable value for each design parameter.A control strategy is used to regulate the inlet flow rate and coolant temperature of the liquid cooling system in order to make full use of the latent heat of the composite PCM and reduce the pump’s energy *** simulation results show that the maximum battery pack temperature of 309.8 K and the temperature difference of 4.6 K between individual cells with the control strategy are in the optimal temperature operating range of the power battery,and the utilization rate of the composite PCM is up to 90%.

关键词： power battery thermal management phase change materials liquid cooling

Predicting for power battery SOC Based on Neural Network 36

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Predicting for Power Battery SOC Based on Neural Network

第36届中国控制会议

作者： Qiyan Yan Yanning Wang Mechanical and Electrical Engineering Department Guangdong University of Science ＆ Technology

ISBN: (纸本)9781538629185

Energy crisis and environmental pollution stimulate the rapid development of new energy electric *** state of charge（SOC） is a key parameter of power battery in application,so the accurate estimation is extremely *** affecting the battery SOC are many and complicated,scholars have proposed many methods to estimate SOC,but still does not solve the accuracy and practicability of the demand very *** recent years,intelligent scheme has been successfully applied,but the traditional scheme only consider a single mode of learning,when conditions change,estimation error of SOC is *** paper adopts the intelligent scheme based on BP neural network to model and predict power battery *** the same time,genetic algorithm is used to optimize the network parameters in order to improve the predicting accuracy.

关键词： power battery SOC BP neural network genetic algorithm predicting

SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric vehicle and plug-in electric vehicle

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Journal of Central South University 2019年第6期26卷 1402-1415页

作者： LIU Fang MA Jie SU Wei-xing CHEN Han-ning TIAN Hui-xin LI Chun-qing School of Computer Science & Technology Tianjin Polytechnic UniversityTianjin 300387China Tianjin Qingyuan Electric Vehicle Limited Liability Company Tianjin 300457China Control Theory and Control Engineering Tianjin UniversityTianjin 300350China

State of charge(SOC)estimation has always been a hot topic in the field of both power battery and new energy vehicle(electric vehicle(EV),plug-in electric vehicle(PHEV)and so on).In this work,aiming at the contradiction problem between the exact requirements of EKF(extended Kalman filter)algorithm for the battery model and the dynamic requirements of battery mode in life cycle or a charge and discharge period,a completely data-driven SOC estimation algorithm based on EKF algorithm is *** innovation of this algorithm lies in that the EKF algorithm is used to get the SOC accurate estimate of the power battery online with using the observable voltage and current data information of the power battery and without knowing the internal parameter variation of the power *** the combination of data-based and model-based SOC estimation method,the new method can avoid high accumulated error of traditional data-driven SOC algorithms and high dependence on battery model of most of the existing model-based SOC estimation methods,and is more suitable for the life cycle SOC estimation of the power battery operating in a complex and ever-changing environment(such as in an EV or PHEV).A series of simulation experiments illustrate better robustness and practicability of the proposed algorithm.

关键词： state of charge extended Kalman filter autoregressive model power battery

Methods on Lithium-ion power battery System Reliability Modeling

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Methods on Lithium-ion Power Battery System Reliability Mode...

2016中国汽车工程学会年会暨展览会

作者： Zhang Hongchang Mu Qiyong Li Huaxin Potevio New Energy Vehicle Technology Co. Ltd

In this paper,we confirmed the connection between the battery units in power battery system by quoting the reliability theory,and studied whether subjects conform to the reliability model theory by combining with the working principle of the power battery *** introduced voting redundancy design concept to the study object which do not comply with of the reliability model theory,and set 5 restrained conditions by the Matlab simulation softwares the numerical simulation for power battery system reliability function and further analyzes the *** experimental results showed that,when x≤0.905,the sample battery system reliability of A was 0,when x = 0.995,the battery system reliability was *** x = 0.9,the reliability of the battery module and battery plate of sample B was about 0.8,and the reliability of the battery system was 0,in order to ensure the high reliability of the whole cell system,the x value was at least 0.99.

关键词： lithium-ion battery power battery battery system reliability modeling simulation software

SOC Prediction of power battery Based on SVM

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SOC Prediction of Power Battery Based on SVM

第32届中国控制与决策会议

作者： Qiyan Yan Mechanical and Electrical Engineering Department Guangdong University of Science ＆ Technology

In order to predict the state of charge（SOC） accurately in power battery management system,genetic algorithm（GA） is used to optimize support vector machine（SVM）,and the SOC of battery is *** current,voltage and temperature of the battery are taken as the input of the training model,and the SOC is used as the output of establish the *** prediction experiment of SOC is carried *** experimental results show that the prediction model has high prediction accuracy,the maximum relative error is less than 3% and the average relative error is less than 2.5%.Compared with the prediction result of neural network,it is more practical.

关键词： GA algorithm SVM SOC prediction power battery

Research on the On-line Monitoring System of battery power

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International Journal of Technology Management 2015年第2期 31-33页

作者： Leilei XIE Youyu CHEN Long XIN Shanghai Institute of Quality Inspection and Technical Research Institute 201114China

Through the comparison of various acquisition technology and related technology theory of the existing scheme, the paper analyze and design the power battery testing platform of the data acquisition system, and give the research design scheme of the utility model through the design of the software on PC and CAN bus, which makes the full synchronization requirements acquisition unit; improve the linearity and stability of total voltage and current acquisition by the integrated circuit, and improve the system sampling rate, effectively complete the corresponding index. Finally, through experimental verification, to ensure the completion of the technical indicators.

关键词： Single data acquisition CAN AH and WH metering power battery

Experimental study on thermal characteristics of LiFePO_4 power batteries

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High Technology Letters 2010年第4期16卷 331-336页

作者：孙逢春 Department of Vehicular Engineering School of Mechatical EngineeringBeijing Institute of Technology

As an important high-energy chemical power source, lithium-ion power batteries come up to application problems of thermal performance, such as extended temperature range and high power charge ＆ discharge. LiFeP04 battery is applied and developed well recently, its charge and discharge experiment at different temperatures and hybrid pulse power characterization （HPPC） test are analyzed, and the optimal temperature range of LiFeP04 battery is put forward. In order to provide experimental suggestion of power battery application and its thermal management, internal resistance, influencing factor of electromotive force and entropy change state of charge （SOC）, battery thermal characteristic of different charge ＆ discharge rates are summarized.

关键词： LiFePO4 power battery thermal characteristic internal resistance

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高能量密度动力电池材料电化学

科学通报 2020年第Z1期65卷 117-126页

作者：沈炎宾陈立桅中国科学院苏州纳米技术与纳米仿生研究所国际实验室上海交通大学物质科学原位中心化学化工学院

电动汽车动力电池的能量密度离300Wh/kg还有多远?未来又能到多高?这一切都决定了电动汽车的续航里程.本文简要总结了动力电池的材料电化学,分析评估了未来有望提供长续航的电池材料体系及其存在的科学问题和技术挑战.

关键词： electric vehicles power battery high energy density electrode materials electrochemistry

Analysis of Potential Causes of Safety Failure of New Energy Vehicle power Batteries

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Journal of Electronic Research and Application 2023年第3期7卷 13-19页

作者： Shaoqing Xiang Wuhan Huaxia Institute of Technology Wuhan 420223Hubei ProvinceChina

The aim of this paper is to analyze the potential reasons for the safety failure of batteries for new-energy ***,the importance and popularization of new energy batteries are introduced,and the importance of safety failure issues is drawn ***,the composition and working principle of the battery is explained in detail,which provides the basis for the subsequent ***,the potential impacts of factors such as overcharge and over-discharge,high and low temperature environments,internal faults,and external shocks and vibrations on the safety of the batteries are ***,some common safety measures and solutions are proposed to improve the safety of new energy batteries,in hopes of improving the safety of batteries for new-energy vehicle.

关键词： New-energy vehicle power battery Safety failure Potential cause Analysis and research

Research on Matching Method of Traction battery for Formula Student Electric Race Car

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Research on Matching Method of Traction Battery for Formula ...

2021中国汽车工程学会年会暨展览会

作者： Wang Wuze Zhao Di Huang Tianqi Xu Dazhong Li Hong Jiang Tianzhu College of Automotive Engineering Jilin University College of Communication Engineering Jilin University

In the Formula Student Electric China（FSEC）,the matching and design of the power battery directly affects the stability of the powertrain and the range of the race *** this paper,based on the existing powertrain design,a matching method for the power battery for an FSEC race car is *** key parameters of the power battery are calculated and matched using this *** last,a simulation model of the race car was built using Simulink and CarSim,and it was used to evaluate the performance and range of the race *** simulation results verified the feasibility and effectiveness of the proposed method.

关键词： FSEC power battery parameter matching Simulink CarSim