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Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer

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Journal of Energy Chemistry 2023年第5期80卷 768-784,I0016页

作者： wentao ma Yiming Lei Xiaofei Wang Badong Chen School of Electrical Engineering Xi'an University of TechnologyXi’an 710048ShaanxiChina School of Microelectronics Xi'an Jiaotong UniversityXi’an 710049ShaanxiChina Institute of Artificial Intelligence and Robotics(IAIR) Xi'an Jiaotong UniversityXi’an 710049ShaanxiChina

The state of charge(SOC)estimation of lithium-ion battery is an important function in the battery management system(BMS)of electric *** long short term memory(LSTM)model can be employed for SOC estimation,which is capable of estimating the future changing states of a nonlinear *** the BMS usually works under complicated operating conditions,i.e the real measurement data used for model training may be corrupted by non-Gaussian noise,and thus the performance of the original LSTM with the mean square error(MSE)loss may ***,a novel LSTM with mixture kernel mean p-power error(MKMPE)loss,called MKMPE-LSTM,is developed by using the MKMPE loss to replace the MSE as the learning criterion in LSTM framework,which can achieve robust SOC estimation under the measurement data contaminated with non-Gaussian noises(or outliers)because of the MKMPE containing the p-order moments of the error *** addition,a meta-heuristic algorithm,called heap-based-optimizer(HBO),is employed to optimize the hyper-parameters(mainly including learning rate,number of hidden layer neuron and value of p in MKMPE)of the proposed MKMPE-LSTM model to further improve its flexibility and generalization performance,and a novel hybrid model(HBO-MKMPE-LSTM)is established for SOC estimation under non-Gaussian noise ***,several tests are performed under various cases through a benchmark to evaluate the performance of the proposed HBO-MKMPE-LSTM model,and the results demonstrate that the proposed hybrid method can provide a good robustness and accuracy under different non-Gaussian measurement noises,and the SOC estimation results in terms of mean square error(MSE),root MSE(RMSE),mean absolute relative error(maRE),and determination coefficient R2are less than 0.05%,3%,3%,and above 99.8%at 25℃,respectively.

关键词： SOC estimation Long short term memory model Mixture kernel mean p-power error Heap-based-optimizer Lithium-ion battery Non-Gaussian noisy measurement data

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A Meshless Collocation Method with Barycentric Lagrange Interpolation for Solving the Helmholtz Equation

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Computer Modeling in Engineering & Sciences 2021年第1期126卷 25-54页

作者： Miaomiao Yang wentao ma Yongbin Ge Institute of Applied mathematics and Mechanics Ningxia UniversityYinchuan750021China

In this paper,Chebyshev interpolation nodes and barycentric Lagrange interpolation basis function are used to deduce the scheme for solving the Helmholtz *** of all,the interpolation basis function is applied to treat the spatial variables and their partial derivatives,and the collocation method for solving the second order differential equations is ***,the differential matrix is used to simplify the given differential equations on a given test ***,based on three kinds of test nodes,numerical experiments show that the present scheme can not only calculate the high wave numbers problems,but also calculate the variable wave numbers *** addition,the algorithm has the advantages of high calculation accuracy,good numerical stability and less time consuming.

关键词： Helmholtz equation Chebyshev interpolation nodes Barycentric Lagrange interpolation meshless collocation method high wave number variable wave number

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Impermeability Research of Autoclaved Propylene Oxide Sludge Shell-aggregate Concrete

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Journal of Wuhan University of Technology(materials Science) 2022年第2期37卷 241-247页

作者： ma Hailong CUI Chong YANG Youzhen ma wentao Archives Ningxia UniversityTinchuan 750021China School of materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Physics Electrical Information Engineering Ningxia UniversityYinchuan 750021China School of mathematics and Computer Science Ningxia UniversityTinchuan 750021China

We aimed to reuse the propylene oxide sludge(POS).Propylene oxide sludge shell-aggregate(POSS-A)and propylene oxide sludge gradient shell-aggregate(POSGS-A)whose main hydrated phase is tobermorite were successfully manufactured by the hydrothermal synthesis of POS and silica materials under the condition of autoclaved(180℃,1.0 MPa)*** of pre-wetting time of coarse aggregate and pressure application mode on the different concretes were *** experimental results show that the concrete with POSS-A as coarse aggregate(POSS-A concrete),the concrete with POS gradient shell-aggregate as coarse aggregate(POSGS-A concrete),sintered aggregate concrete and common concrete,all have excellent impermeability performance whatever the pre-wetting time of coarse aggregate is 0.5 h or 24 h,and the pre-wetting time of coarse aggregate has a negligible influence on the *** influence degree of pressure application mode on the impermeability performance of the sintered aggregate concrete is the greatest among three kinds of concrete,which has a negligible influence on impermeability performance of the other ***-A can be used as a green building light aggregate in hydraulic concrete.

关键词： propylene oxide sludge hydrothermal synthesis autoclaved aggregate impermeability concrete

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Roughness correction method for salinity remote sensing using combined active/passive observations

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Acta Oceanologica Sinica 2021年第11期40卷 189-195页

作者： wentao ma Guihong Liu Yang Yu Yanlei Du State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China The Key Laboratory for Earth Observation of Hainan Province Sanya 572029China

Roughness-induced emission from ocean surfaces is one of the main issues that affects the retrieval accuracy of sea surface salinity remote *** previous studies,the correction of roughness effect mainly depended on wind speeds retrieved from scatterometers or those provided by other means,which necessitates a high requirement for accuracy and synchronicity of wind-speed *** aim of this study is to develop a novel roughness correction model of ocean emissivity for the salinity retrieval *** combined active/passive observations of normalized radar cross-sections(NRCSs)and emissivities from ocean surfaces given by the L-band Aquarius/SAC-D mission,and the auxiliary wind directions collocated from the National Centers for Environmental Prediction(NCEP)dataset are used for model *** model is validated against the observations and the Aquarius standard algorithms of roughness-induced emissivity *** between model computations and measurements indicate that the model has better accuracy in computing wind-induced brightness temperature in the upwind/downwind directions or for the surfaces with smaller NRCSs,which can be better than 0.3 ***,for crosswind directions and larger NRCSs,the model accuracy is relatively low.A model using HH-polarized NRCSs yields better accuracy than that using VV-polarized *** a fair comparison to the Aquarius standard algorithms using wind speeds retrieved from multi-source data,the maximum likelihood estimation is employed to produce results combining our model calculations and those using other *** simulations show that combined results basically have higher accuracy than the standard algorithms.

关键词： salinity remote sensing roughness correction Aquarius satellite active/passive

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Production of dissolved organic carbon in the South China Sea:A modeling study

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Science China Earth Sciences 2022年第2期65卷 351-364页

作者： wentao ma Peng XIU Yi YU Yiling ZHENG Fei CHAI State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Southern marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519080China Southern marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China School of marine Sciences University of MaineOrono 04469MaineUSA

The South China Sea(SCS)is the largest semi-enclosed marginal sea in the western *** alternation of East Asian monsoon causes a significant seasonal pattern of chlorophyll,primary productivity,and export flux of sinking ***,the source and sink of dissolved organic carbon(DOC)pools with different bioavailability are less *** we evaluated the seasonal production of DOC in labile,semi-labile and refractory forms using a coupled physical-biogeochemical *** study aims to understand the dynamics and budgets of organic matters in the *** results show that the production of labile,semi-labile and refractory DOC is highly correlated with the net primary productivity(NPP)which is higher in winter and lower in summer,reflecting a dependence of DOC on the *** seasonal variation in Pearl River discharge dominates the DOC production in the northern coastal *** the northeast,the Kuroshio intrusion associated frontal system is attributed to cause high winter *** DOC production in the southwest is controlled by both winter mixing and summer *** production of refractory DOC with the least bioavailability favors carbon *** annual mean production is 1.8±0.5 mg C m^(−2) d^(−1),equivalent to 26%of the export flux of particulate organic carbon at 1000 m.

关键词： Dissolved organic carbon Microbial carbon pump South China Sea Biogeochemical model ROMS CoSiNE

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Snap-through path in a bistable dielectric elastomer actuator

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Applied mathematics and Mechanics(English Edition) 2022年第8期43卷 1159-1170页

作者： Wenjie SUN wentao ma Fei ZHANG Wei HONG Bo LI School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an710048China State Key Laboratory for Strength and Vibration of Mechanical Structures and School of Aerospace Xi’an Jiaotong UniversityXi’an710049China State Key Laboratory for manufacturing System Engineering Shaanxi Key Lab for Intelligent RobotsSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an710049China Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhenGuangdong Province518055China

The dielectric elastomer(DE)has attracted significant attention due to its desired features,including large deformation,fast response,and high energy ***,for a DE actuator(DEA)utilizing a snap-through deformation mode,most existing theoretical models fail to predict its deformation *** paper develops a new finite element method(FEM)based on the three-parameter Gent-Gent model suitable for capturing strain-stiffening *** simulation results are verified by experiments,indicating that the FEM can accurately characterize the snap-through path of a *** method proposed in this paper provides theoretical guidance and inspiration for designing and applying DEs and bistable electroactive actuators.

关键词： dielectric elastomer actuator(DEA) snap-through bistable finite element method(FEM) strain-stiffening behavior

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Astronomically modulated late Pliocene equatorial Pacific climate transition and Northern Hemisphere ice sheet expansion

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Chinese Science Bulletin 2010年第2期55卷 212-220页

作者： ma wentao TIAN Jun LI QianYu State Key Laboratory of marine Geology Tongji University Shanghai 200092 China

The equatorial Pacific underwent a significant climate transition during the late Pliocene, which is characterized by cooling of global sea surface temperatures (SSTs) and formation of a marked SST gradient between the eastern and western equatorial Pacific. Moreover, this transition was nearly synchronous with the late Pliocene Northern Hemisphere glaciation. Probing the relationship among solar insolation, low and high latitude processes is the key to unravel the mechanism of this climate transition. A series of statistical methods were used in this study to analyze the orbital components of the equatorial Pacific SST and global ice volume records for the past 5 ma. We found that integrated solar insolation rather than the monthly mean insolation is the primary external forcing of the late Pliocene climate transition, and that on orbital time scale the SSTs of the eastern and western equatorial Pacific display consistent change rather than a "seesaw" pattern. Changes of Earth’s orbital configuration have been responsible for this climate transition whereas the feedback effects of atmospheric CO2 concentration have further cooled the global climate since the early Cenozoic.

关键词：赤道太平洋全球气候上新世北半球晚期数字调制冰盖赤道西太平洋

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Estimator with Forgetting Factor of Correntropy and Recursive Algorithm for Traffic Network Prediction

Estimator with Forgetting Factor of Correntropy and Recursiv...

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第25届中国控制与决策会议

作者： wentao ma Hua Qu Jihong Zhao School of Electronic and Information Engineering Xi'an Jiaotong University School of Telecommunication and information Engineering Xi'an University of Posts and Telecommunications

ISBN: (纸本)9781467355339

Correntropy as a new similarity function with its excellent property has been used for many case. It’s estimator as a computing tool of Correntropy in sense of mean value, this character has some defect for tracking time-varying parameters in some special case. Thus the estimator with forgetting factor of Correntropy （Correntropy-FF） is researched by us first in this paper. Correntropy-FF is as an estimator of Correntropy in sense of weight average. It can promise some important factor for effect of estimate results. A kind of recursive learning algorithm is deduced based on the Correntropy-FF as a cost function. In general, the current result is impacted by nearing it in the time varying system, so kernel function in Correntropy-FF playing this role as Correntropy. The simulation results on traffic network prediction indicate that the effective performance and available of the proposed algorithm.

关键词： Correntropy Forgetting factor Recursive learning Traffic network prediction

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FUNCTIONAL CHARACTERIZATION OF CADMIUM-RESPONSIVE GARLIC GENE ASMT2B: A NEW MEMBER OF METALLOTHIONEIN FAMILY

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Chinese Science Bulletin 2006年第4期51卷 409-416页

作者： ZHANG Haiyan XUWenzhong DAI wentao HE Zhenyan ma Mi Key Laboratory of Photosynthesis and Environmental Molecular Physi-ology Institute of Botany Chinese Academy of Sciences Beijing 100093China

A new gene of metallothionein (MT) family was cloned from garlic (Allium sativum) seed-lings using RACE method and designated AsMT2b. The full length of AsMT2b cDNA was 520 bp encod-ing 80 amino acids. The deduced amino acids of AsMT2b showed that AsMT2b contained the char-acteristic structure of type 2 MT proteins, but the number and arrangement of the cysteine residues in the N- and C-terminal domains was different from other type 2 MT proteins. Semi-quantitative reverse transcriptase-PCR showed that transcript levels of AsMT2b were enhanced only in response to higher concentrations or longer incubation time of Cd. Such an expression pattern of AsMT2b greatly differed from that of other type 2 MT genes. Yeast cells transformed with this gene had improved resistance to Cd. AsMT2b overexpressing Arabidopsis showed stronger Cd tolerance and higher Cd accumulation compared with wild-type plants. These results sug-gest that AsMT2b should be useful in phytoremedia-tion of Cd-polluted soil in the future.

关键词：大蒜金属硫因重金属污染转基因植物功能特征化镉基因克隆

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Adaptive Median Filtering Algorithm Based on Divide and Conquer and Its Application in CAPTCHA Recognition

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Computers, materials & Continua 2019年第3期58卷 665-677页

作者： wentao ma Jiaohua Qin Xuyu Xiang Yun Tan Yuanjing Luo Neal NXiong College of Computer Science and Information Technology Central South University of Forestry&TechnologyChangsha410114China Department of mathematics and Computer Science Northeastern State UniversityOklahoma74464USA.

As the first barrier to protect cyberspace,the CAPTCHA has made significant contributions to maintaining Internet security and preventing malicious *** researching the CAPTCHA,we can find its vulnerability and improve the security of ***,many studies have shown that improving the image preprocessing effect of the CAPTCHA,which can achieve a better recognition rate by the state-of-theart machine learning *** are many kinds of noise and distortion in the CAPTCHA images of this *** propose an adaptive median filtering algorithm based on divide and conquer in this ***,the filtering window data quickly sorted by the data correlation,which can greatly improve the filtering ***,the size of the filtering window is adaptively adjusted according to the noise *** demonstrated in the experimental results,the proposed scheme can achieve superior performance compared with the conventional median *** algorithm can not only effectively detect the noise and remove it,but also has a good effect in preservation ***,this algorithm can be one of the most strong tools for various CAPTCHA image recognition and related applications.

关键词： Image preprocessing machine learning CAPTCHA recognition adaptive median filtering algorithm.

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