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Performance Study of the MPC based on BPNN Prediction Model in thermal management system of battery Electric Vehicles

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Journal of thermal Science 2024年第6期33卷 2318-2335页

作者： HE Lian'ge JING Haodong ZHANG Yan LI Pengpai GU Zihan Key Laboratory of Advanced Manufacture Technology for Automobile Parts(Chongqing University of Technology) Ministry of EducationChongqing 400054China Ningbo Shenglong Group Co. Ltd.Ningbo 315104China Chongqing Tsingshan Industrial Co. Ltd.Chongqing 402761China

In this paper,a model predictive control(MPC)based on back propagation neural network(BPNN)prediction model was proposed for compressor speed control of air conditioning system(ACS)and battery thermal management system(BTMS)coupling system of battery electric vehicle(BEV).In order to solve the problem of high cooling energy consumption and inferior thermal comfort in the cabin of the battery electric vehicle thermal management system(BEVTMS)during summer time,this paper combines the respective superiorities of artificial neural network(ANN)predictive modeling and MPC,and creatively combines the two methods and uses them in the control of ***,based on ANN and heat transfer theory,BPNN prediction model,ACS and BTMS coupling system were established and ***,a mathematical method of MPC was established to control the speed of the ***,the state parameters of the coupled system were predicted using a BPNN prediction model,and the predicted values were passed to the MPC,thus achieving accurate control of the compressor speed using the ***,the effects of PID control and MPC based on BPNN prediction model on thermal comfort of cabin and compressor energy consumption at different ambient temperatures were compared in simulation under New European Driving Cycle(NEDC)*** results showed for the constructed BPNN prediction model predicted and tested values of the selected parameters the mean squared error(MSE)ranged from 2.498%to 8.969%,mean absolute percentage error(MAPE)ranged from 4.197%to 8.986%,and mean absolute error(MAE)ranged from 3.202%to 8.476%.At ambient temperatures of 25℃,35℃ and 45℃,the MPC based on the BPNN prediction model reduced the cumulative discomfort time in the cabin by 100 s,39 s and 19 s,respectively,compared with the PID *** three NEDC conditions,the energy consumption is reduced by 1.82%,2.35%and 3.48%,*** the ambient temperature was 35℃,the MPC based on BPNN prediction model

关键词： air conditioning system battery thermal management system back propagation neural network model predictive control battery electric vehicle

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维普期刊数据库

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Adaptive battery thermal management systems in unsteady thermal application contexts

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Journal of Energy Chemistry 2024年第10期97卷 650-668,I0014页

作者： Kailong Liu Qiao Peng Zhuoran Liu Wei Li Naxin Cui Chenghui Zhang School of Control Science and Engineering Shandong UniversityJjinan 250100ShandongChina Information Technology Analytics&Operations GroupQueen's University BelfastBelfast BT95EEUK College of Design and Engineering National University of SingaporeSingapore 117575Singapore

With the increasing attention paid to battery technology,the microscopic reaction mechanism and macroscopic heat transfer process of lithium-ion batteries have been further studied and understood from both academic and industrial ***,as one of the key parameters in the physical fra mework of batteries,affects the performa nce of the multi-physical fields within the battery,a nd its effective control is *** the heat generation in the battery is determined by the real-time operating conditions,the battery temperature is essentially controlled by the real-time heat dissipation conditions provided by the battery thermal management *** battery thermal management systems have basic temperature control capabilities for most conventional application ***,with the current development of la rge-scale,integrated,and intelligent battery technology,the adva ncement of battery thermal management technology will pay more attention to the effective control of battery temperature under sophisticated situations,such as high power and widely varied operating *** this context,this paper presents the latest advances and representative research related to battery thermal management ***,starting from battery thermal profile,the mechanism of battery heat generation is discussed in ***,the static characteristics of the traditional battery thermal management system are ***,considering the dynamic requirements of battery heat dissipation under complex operating conditions,the concept of adaptive battery thermal management system is proposed based on specific research ***,the main challenges for battery thermal management system in practice are identified,and potential future developments to overcome these challenges are presented and discussed.

关键词： Lithium-ion batteries Heat generation mechanism battery thermal management system Cooling methods battery safety

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维普期刊数据库

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Functional thermal fluids and their applications in battery thermal management:A comprehensive review

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Journal of Energy Chemistry 2024年第7期94卷 78-101页

作者： Xinyue Xu Keyu Weng Xitao Lu Yuanqiang Zhang Shuyan Zhu Deqiu Zou Faculty of Maritime and Transportation Ningbo UniversityNingbo 315211ZhejiangChina

With the increasing requirements for fast charging and discharging,higher requirements have been put forward for the thermal management of power ***,there is an urgent need to develop efficient heat transfer *** a new type of heat transfer fluids,functional thermal fluids mainly includ-ing nanofluids(NFs)and phase change fluids(PCFs),have the advantages of high heat carrying density,high heat transfer rate,and broad operational temperature ***,challenges that hinder their practical applications *** this paper,we firstly overview the classification,thermophysical prop-erties,drawbacks,and corresponding modifications of functional thermal *** NFs,the high ther-mal conductivity and high convective heat transfer performance were mainly elaborated,while the stability and viscosity issues were also *** then for PCFs,the high heat carrying density was mainly elaborated,while the problems of supercooling,stability,and viscosity were also *** this basis,the composite fluids combined NFs and PCFs technology,has been ***,the thermal properties of traditional fluids,NFs,PCFs,and composite fluids are compared,which proves that functional thermal fluids are a good choice to replace traditional fluids as ***,battery thermal management system(BTMS)based on functional thermal fluids is summarized in detail,and the thermal management effects and pump consumption are compared with that of water-based ***,the current technical challenges that parameters optimization of functional thermal fluids and structures optimization of BTMS systematically are *** the future,it is necessary to pay more attention to using machine learning to predict thermophysical properties of functional thermal fluids and their applications for BTMS under actual vehicle conditions.

关键词： Functionalthermal fluids Nanofluids Phase change fluids battery thermal management system Thermophysical properties

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Challenges and recent progress in thermal management with heat pipes for lithium-ion power batteries in electric vehicles

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Science China(Technological Sciences) 2021年第5期64卷 919-956页

作者： HUANG Yao TANG Yong YUAN Wei FANG GuoYun YANG Yang ZHANG XiaoQing WU YaoPeng YUAN YuHang WANG Chun LI JinGuang School of Mechanical&Automotive Engineering South China University of TechnologyGuangzhou 510640China

Electric vehicles(EVs)are globally undergoing rapid developments,and have great potentials to replace the traditional vehicles based on fossil ***-type lithium-ion batteries(LIBs)have been widely used for EVs,owing to high power densities,good charge/discharge stability,and long cycle *** driving ranges and acceleration performances are gaining increasing concerns from customers,which depend highly on the power level of *** the increase in power outputs,rising heat generation significantly affects the battery performances,and in particular operation ***,the cold-start performance is still an intractable problem under extreme *** challenges put forward higher requirements for a dedicated battery thermal management system(BTMS).Compared to traditional BTMSs in EVs,the heat pipe-based BTMS has great application prospects owing to its compact structure,flexibility,low cost,and especially high thermal *** this topic,this review first introduces heat generation phenomena and temperature characteristics of *** abuse conditions and thermal runaway issues are described *** cooling and preheating methods for designing a BTMS are also *** emphasis on this review is put on the use of various heat pipes for BTMSs to enhance the thermal performances of *** lack of wide application in actual EVs,more efforts should be made to extend the use of heat pipes for constructing an energy-efficient,cost-effective,and reliable BTMS to improve the performances and safety of EVs.

关键词： lithium-ion power battery heat pipe battery thermal management system thermal performance thermal design thermal runaway

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