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Light and Period Variations in Two K-type Contact Binaries:HI Leo and V523 Cas

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Research in Astronomy and Astrophysics 2022年第12期22卷 260-272页

作者： Yuangui Yang Shuang Wang Huiyu Yuan haifeng dai School of Physics and Electronic Information Huaibei Normal UniversityHuaibei 235000China

We presented a low-precision spectrum for HI Leo,Transiting Exoplanet Survey Satellite data for V523 Cas,and new photometry for both K-type contact *** their light curves on different observing dates,we found small intrinsic variabilities,such as variable amplitudes for HI Leo and the varying heights around the second maxima for V523 *** the Wilson-Devinney Code,we deduced six photometric *** dark spot of V523 Cas may appear on the surface of the more massive component on BJD 2458768,while it disappears on BJD *** results indicate that the two binaries are W-type shallow-contact binaries(f≤10%).From the eclipse timing residuals,we found that the orbital periods may continuously increase,accompanied by one to two light-time effects due to additional *** modulated periods and semi-amplitudes are P_(3)=25.8(±1.0)yr and A_(3)=0_·^(d)0066(6)for HI Leo,P_(3)=-14.8(±2.0)yr and A_(3)=0_·^(d)0448(12),P_(4)=18.89(±0.14)yr and A4=0_·^(d)0025(2)for V523 Cas,*** orbital period secularly increases at a rate of dP/dt=2.86(±0.11)×10^(-7)day yr^(-1)for HI Leo and dP/dt=3.45(±0.07)×10^(-8)day yr^(-1)for V523 Cas,which may be attributed to mass transfer from the secondary to the *** mass transferring,the shallow-contact binaries,HI Leo and V523 Cas,will evolve into the broken-contact configurations.

关键词： (stars:)binaries(including multiple):close (stars:)binaries:eclipsing stars:activity Online material:machine-readable table

Fault Diagnosis of Proton Exchange Membrane Fuel Cell Based on Nonlinear Impedance Spectrum

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Automotive Innovation 2023年第4期6卷 597-610页

作者： Hao Yuan Shaozhe Zhang Xuezhe Wei haifeng dai School of Automotive Studies Tongji UniversityShanghaiChina

Electrochemical impedance spectroscopy(EIS)contributes to developing the fault diagnosis tools for fuel cells,which is of great significance in improving service *** conventional impedance measurement techniques are limited to linear responses,failing to capture high-order harmonic ***,nonlinear electrochemical impedance analysis incorporates additional nonlinear information,enabling the resolution of such *** study proposes a novel multi-stage fault diagnosis method based on the nonlinear electrochemical impedance spectrum(NEIS).First,the impact of alternating current excitation amplitude on NEIS is ***,a series of experiments are conducted to obtain NEIS data under various fault conditions,encompassing recoverable faults like flooding,drying,starvation,and their mixed faults,spanning different degrees of fault *** on these experiments,both EIS and NEIS datasets are established,and principal component analysis is utilized to extract the main features,thereby reducing the dimensionality of the original ***,a fault diagnosis model is constructed with the support vector machine(SVM)and random forest algorithms,with model hyperparameters optimized by a hybrid genetic particle swarm optimization(HGAPSO)*** results show that the diagnostic accuracy of NEIS is higher than that of traditional EIS,with the HGAPSO-SVM model achieving a 100%accurate diagnosis under the NEIS dateset and self-defined fault labels.

关键词： Fuel cell Nonlinear electrochemical impedance spectrum Fault diagnosis

Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model

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Green Energy and Intelligent Transportation 2024年第4期3卷 23-38页

作者： Chao Yu Jiangong Zhu Wenxue Liu haifeng dai Xuezhe Wei School of Automotive Studies Tongji UniversityShanghai201804China Clean Energy Automotive Engineering Center Tongji UniversityShanghai201804China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing400044China

The safe and efficient operation of the electric vehicle significantly depends on the accurate state-of-charge(SOC)and state-of-temperature(SOT)of Lithium-ion(Li-ion)*** the influence of cross-interference between the two states indicated above,this study establishs a co-estimation framework of battery SOC and *** framwork is based on an innovative electrothermal model and adaptive estimation *** first-order RC electric model and an innovative thermal model are components of the electrothermal ***,the thermal model includes two lumped-mass thermal submodels for two tabs and a two-dimensional(2-D)thermal resistance network(TRN)submodel for the main battery body,capable of capturing the detailed thermodynamics of large-format Li-ion ***,the proposed thermal model strikes an acceptable compromise between the estimation fidelity and computational complexity by representing the heat transfer processes by the thermal ***,the adaptive estimation algorithms are composed of an adaptive unscented Kalman filter(AUKF)and an adaptive Kalman filter(AKF),which adaptively update the state and noise *** the estimation results,the mean absolute errors(MAEs)of SOC and SOT estimation are controlled within 1%and 0.4°C at two temperatures,indicating that the co-estimation method yields superior prediction performance in a wide temperature range of 5–35°C.

关键词： Large-format Li-ion battery Electrothermal model SOT estimation SOC estimation Adaptive algorithm

Research on the impact of high-temperature aging on the thermal safety of lithium-ion batteries

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Journal of Energy Chemistry 2023年第12期87卷 378-389,I0010页

作者： Guangxu Zhang Xuezhe Wei Siqi Chen Gang Wei Jiangong Zhu Xueyuan Wang Guangshuai Han haifeng dai Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China School of Automotive Studies Tongji UniversityShanghai 201804China Institute for Advanced Study Tongji UniversityShanghai 200092China Shanghai AI NEV Innovative Platform Co. Ltd.Shanghai 201804China

Understanding the thermal safety evolution of lithium-ion batteries during high-temperature usage conditions bears significant implications for enhancing the safety management of aging *** work investigates the thermal safety evolution mechanism of lithium-ion batteries during high-temperature *** arise in the thermal safety evolution and degradation mechanisms for lithium-ion batteries undergoing cyclic aging and calendar *** multi-angle characterization analysis,the intricate mechanism governing the thermal safety evolution of lithium-ion batteries during high-temperature aging is ***,lithium plating serves as the pivotal factor contributing to the reduction in the self-heating initial ***,the crystal structure of the cathode induced by the dissolution of transition metals and the reductive gas generated during aging attacking the crystal structure of the cathode lead to a decrease in thermal runaway triggering ***,the loss of active materials and active lithium during aging contributes to a decline in both the maximum temperature and the maximum temperature rise rate,ultimately indicating a decrease in the thermal hazards of aging batteries.

关键词： Lithium-ion batteries High-temperature aging Thermal safety Degradation Lithium plating

Thermal characteristic evolution of lithium-ion batteries during the whole lifecycle

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Journal of Energy Chemistry 2024年第5期92卷 534-547页

作者： Guangxu Zhang Xuezhe Wei Donghai Chen Xueyuan Wang Siqi Chen Jiangong Zhu haifeng dai School of Materials Science and Engineering Tongji UniversityShanghai 201804China Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China School of Automotive Studies Tongji UniversityShanghai 201804China

This work extensively investigates the thermal characteristic evolution of lithium-ion batteries under different degradation paths,and the evolution mechanism through multi-angle characterization is *** different degradation paths,the evolution trend of temperature rise rate remains unchanged with respect to depth of discharge during the adiabatic discharge process,albeit to varying degrees of *** temperature rise rate changes significantly with aging during the adiabatic discharge process under low-temperature cycling and high-rate cycling *** total heat generation rate,irreversible heat generation rate,and reversible heat generation rate exhibit similar evolution behavior with aging under different degradation *** interval range of endothermic process of reversible electrochemical reactions increases and the contribution of irreversible heat to the total heat increases with *** further standardize the assessment of different degradation paths on the thermal characteristics,this work introduces the innovative concept of“Ampere-hour temperature rise”.In low-temperature cycling and high-rate cycling paths,the ampere-hour temperature rise increases significantly with aging,particularly accentuated with higher discharge ***,in high-temperature cycling and high-temperature storage paths,the ampere-hour temperature rise remains relatively stable during the initial stages of aging,yet undergoes a notable increase in the later stages of *** multi-angle characterization reveals distinct thermal evolution behavior under different degradation paths primarily attributed to different behavior changes of severe side reactions,such as lithium *** findings provide crucial insights for the safe utilization and management of lithium–ion batteries throughout the whole lifecycle.

关键词： Lithium-ion batteries Adiabatic discharge Thermal characteristics Ampere-hour temperaturerise Degradation

Deep learning enhanced lithium-ion battery nonlinear fading prognosis

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Journal of Energy Chemistry 2023年第3期78卷 565-573,I0015页

作者： Shanling Ji Jianxiong Zhu Zhiyang Lyu Heze You Yifan Zhou Liudong Gu Jinqing Qu Zhijie Xia Zhisheng Zhang haifeng dai School of Mechanical Engineering Southeast UniversityNanjing 211189JiangsuChina Guangdong Provincial Key Lab of Green Chemical Product Technology South China University of TechnologyGuangzhou 510006GuangdongChina Engineering Research Center of New Light Sources Technology and Equipment Ministry of EducationNanjing 211189JiangsuChina Clean Energy Automotive Engineering Center School of Automotive EngineeringTongji UniversityShanghai 201804China School of Mathematics Southeast UniversityNanjing 211189JiangsuChina

With the assistance of artificial intelligence,advanced health prognosis technique plays a critical role in the lithium-ion(Li-ion) batteries management ***,conventional data-driven early aging prediction exhibited dramatic drawbacks,i.e.,volatile capacity nonlinear fading trajectories create obstacles to the accurate multistep ahead prediction due to the complex working conditions of ***,a novel deep learning model is proposed to achieve a universal and accurate Li-ion battery aging *** battery datasets with various electrode types and cycling conditions are developed to validate the proposed ***-point probability(KPP),extracted from the capacity loss curve,is first proposed to detect knee points and improve state-of-health(SOH) predictive accuracy,especially during periods of rapid capacity *** one-cycle data of partial raw voltage as the model input,the SOH and KPP can be simultaneously predicted at multistep ahead,whereas the conventional method showed worse ***,to explore the underlying characteristics among various degradation tendencies,an online model update strategy is developed by leveraging the adversarial adaptationinduced transfer learning *** work gains new sights into the comprehensive Li-ion battery management and prognosis framework through decomposing capacity degradation trajectories and adversarial learning on the unlabeled samples.

关键词： Battery aging prognosis Deep learning Knee-point probability Sate-of-health

Thermal safety boundary of lithium-ion battery at different state of charge

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Journal of Energy Chemistry 2024年第4期91卷 59-72页

作者： Hang Wu Siqi Chen Yan Hong Chengshan Xu Yuejiu Zheng Changyong Jin Kaixin Chen Yafei He Xuning Feng Xuezhe Wei haifeng dai Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China College of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai 200093China State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China

Thermal runaway(TR)is a critical issue hindering the large-scale application of lithium-ion batteries(LIBs).Understanding the thermal safety behavior of LIBs at the cell and module level under different state of charges(SOCs)has significant implications for reinforcing the thermal safety design of the lithium-ion battery *** study first investigates the thermal safety boundary(TSB)correspondence at the cells and modules level under the guidance of a newly proposed concept,safe electric quantity boundary(SEQB).A reasonable thermal runaway propagation(TRP)judgment indicator,peak heat transfer power(PHTP),is proposed to predict whether TRP ***,a validated 3D model is used to quantitatively clarify the TSB at different SOCs from the perspective of PHTP,TR trigger temperature,SOC,and the full cycle ***,three different TRP transfer modes are *** interconversion relationship of three different TRP modes is investigated from the perspective of *** paper explores the TSB of LIBs under different SOCs at both cell and module levels for the first time,which has great significance in guiding the thermal safety design of battery systems.

关键词： Lithium-ion battery Battery safety Thermal runaway State of charge Numerical analysis

All-temperature area battery application mechanism,performance,and

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The Innovation 2023年第4期4卷 118-134页

作者： Siqi Chen Xuezhe Wei Guangxu Zhang Xueyuan Wang Jiangong Zhu Xuning Feng haifeng dai Minggao Ouyang Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijing 100084China

Further applications of electric vehicles(EVs)and energy storage stations are limited because of the thermal sensitivity,volatility,and poor durability of lithium-ion batteries(LIBs),especially given the urgent requirements for all-climate utilization and fast *** study comprehensively reviews the thermal characteristics and management of LIBs in an all-temperature area based on the performance,mechanism,and thermal management strategy levels.

关键词： battery performance mechanism

Nonlinear health evaluation for lithium-ion battery within full-lifespan

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Journal of Energy Chemistry 2022年第9期31卷 333-341,I0010页

作者： Heze You Jiangong Zhu Xueyuan Wang Bo Jiang Hao Sun Xinhua Liu Xuezhe Wei Guangshuai Han Shicong Ding Hanqing Yu Weihan Li Dirk Uwe Sauer haifeng dai School of Automotive Studies Tongji UniversityShanghai 201804China National Fuel Cell Vehicle&Powertrain System Research&Engineering Center Shanghai 201804China Institute for Advanced Study Tongji UniversityShanghai 200092China Shanghai AI NEV Innovative Platform Co. Ltd.Shanghai 201804China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityAachen 52062Germany

Lithium-ion batteries(LIBs), as the first choice for green batteries, have been widely used in energy storage, electric vehicles, 3C devices, and other related fields, and will have greater application prospects in the future. However, one of the obstacles hindering the future development of battery technology is how to accurately evaluate and monitor battery health, which affects the entire lifespan of battery use. It is not enough to assess battery health comprehensively through the state of health(SoH) alone, especially when nonlinear aging occurs in onboard applications. Here, for the first time, we propose a brand-new health evaluation indicator—state of nonlinear aging(SoNA) to explain the nonlinear aging phenomenon that occurs during the battery use, and also design a knee-point identification method and two SoNA quantitative methods. We apply our health evaluation indicator to build a complete LIB full-lifespan grading evaluation system and a ground-to-cloud service framework, which integrates multi-scenario data collection, multi-dimensional data-based grading evaluation, and cloud management functions. Our works fill the gap in the LIBs’ health evaluation of nonlinear aging, which is of great significance for the health and safety evaluation of LIBs in the field of echelon utilization such as vehicles and energy storage. In addition, this comprehensive evaluation system and service framework are expected to be extended to other battery material systems other than LIBs, yet guiding the design of new energy ecosystem.

关键词： Lithium-ion battery State of nonlinear aging Knee-point Grading evaluation system Echelon utilization