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Identification of optimal composition with superior electrochemical properties along the zero Mn^(3+)line in Na_(0.75)(Mn-Al-Ni)O_(2)pseudo ternary system

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Journal of Energy Chemistry 2024年第9期96卷 206-216页

作者： Hari Narayanan Vasavan Manish Badole Samriddhi Saxena Velaga Srihari Asish Kumar Das Pratiksha Gami Neha Dagar Sonia Deswal Pradeep Kumar Himanshu Kumar Poswal Sunil Kumar Department of Metallurgical Engineeringnd Materials Science Indian Institute of Technology IndoreSimrol 453552India High Pressure&Synchrotron Radiation Physics Division Bhabha Atomic Research Centre400085 MumbaiIndia School of Physical Sciences Indian Institute of Technology MandiHimachal Pradesh 175005India center for electric Vehiclend intelligent transport systems Indian Institute of Technology IndoreSimrol 453552India

Biphasic layered oxide cathodes,known for their superior electrochemical performance,are prime candidates for commercializing in Na-ion ***,we unveil a series of P3/P2 monophasic and biphasic Al-substituted Na_(3/4)Mn_(5-x/8)Al_(2x/8)Ni_(3-x/8)O_(2)layered oxide cathodes that lie along the‘zero Mn^(3+)line’in the Na_(3/4)(Mn-Al-Ni)O_(2)pseudo-ternary *** structural analysis showed a larger Na^(+)conduction bottleneck area in both P3 and P2 structures with a higher Al3+content,which enhanced their rate *** each composition,the P3/P2 biphasic compound with nearly equal fractions of P3 and P2 phases outperformed their monophasic counterparts in almost all electrochemical performance *** synchrotron XRD measurements obtained for the monophasic P3 and biphasic P2/P3 samples revealed the absence of the O3 phase during *** high structure stability and faster Na^(+)transport kinetics in the biphasic samples underpins the enhancement of electrochemical properties in the Al-substituted P3/P2 *** results highlight fixed oxidation state lines as a novel tool to identify and design layered oxide cathodes for Na-ion batteries in pseudo-ternary diagrams involving Jahn-Teller active cations.

关键词： Layered oxides Biphasic cathode Operando Synchrotron XRD Electrochemical behavior Cyclic performance

Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

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Frontiers in Energy 2024年第1期18卷 16-27页

作者： Ziyuan TENG Chao TAN Peiyuan LIU Minfang HAN Fuel Cell and Energy Storage center Department of Energy and Power EngineeringState Key Laboratory of Control and Simulation of Power Systems and Generation EquipmentTsinghua UniversityBeijing 100084China

The hydrogen fuel cell vehicle is rapidly developing in China for carbon reduction and *** paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys,including hydrogen production and packing in chlor-alkali plants,transport by tube trailers,storage and refueling in hydrogen refueling stations(HRSs),and application for use in two different *** also conducted a comparative study for battery electric vehicles(BEVs)and internal combustion engine vehicles(ICEVs).The result indicates that hydrogen fuel cell vehicle(FCV)has the best environmental performance but the highest energy ***,a sufficient hydrogen supply can significantly reduce the carbon intensity and FCV energy cost of the current *** carbon emission for FCV application has the potential to decrease by 73.1%in City A and 43.8%in City *** only takes 11.0%–20.1%of the BEV emission and 8.2%–9.8%of the ICEV *** cost of FCV driving can be reduced by 39.1%in City *** improvement can be obtained with an economical and“greener”hydrogen production pathway.

关键词： hydrogen energy life-cycle assessment(LCA) fuel cell vehicle carbon emission energy cost

intelligent decision support platform of new energy vehicles

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Journal of systems Engineering and Electronics 2022年第4期33卷 785-791页

作者： WANG Zhenpo SUN Zhenyu LIU Peng WANG Shuo ZHANG Zhaosheng Collaborative Innovation center for electric vehicles&National Engineering Laboratory for electric vehicles Beijing Institute of TechnologyBeijing 100081China Chongqing Innovation center Beijing Institute of TechnologyChongqing 401135China

New energy vehicles(NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability,the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

关键词： new energy vehicle(NEV) intelligent decision support platform software system data platform application

Dorsal-Ventral Visual Pathways and Object Characteristics:Beamformer Source Analysis of EEG

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Computers, Materials & Continua 2022年第2期70卷 2347-2363页

作者： Akanksha Tiwari Ram Bilas Pachori Premjit Khanganba Sanjram Department of Biosciences and Biomedical Engineering Indian Institute of Technology IndoreIndore453552India Department of electrical Engineering Indian Institute of Technology IndoreIndore453552India Discipline of Psychology Indian Institute of Technology IndoreIndore453552India center for electric vehicles and intelligent transport systems Indian Institute of Technology IndoreIndore453552India

In performing a gaming task,mental rotation(MR)is one of the important aspects of visuospatial *** involves dorsal-ventral pathways of the *** objects/models used in computer-games play a crucial role in gaming experience of the *** visuospatial characteristics of the objects used in the computer-game influence the engagement of dorsal-ventral visual *** current study investigates how the objects’visuospatial characteristics(i.e.,angular disparity and dimensionality)in an MR-based computer-game influence the cortical activities in dorsalventral visual *** the factors have two levels,angular disparity:convex angle(CA)*** angle(RA)and dimensionality:2D *** healthy adults,aged,18-29 years(M=21.6)were recruited for the study and randomly assigned to four gaming conditions i.e.,15 participants in each *** multichannel electroencephalogram(EEG)data were recorded from 60 healthy adults while playing the *** source reconstruction was done for∼3000 sources inside the brain using the Dynamic Imaging of Coherent Sources(DICS)beamforming method forθ1(4-5.75),θ2(5.75-7.5),α1(7.5-9),α2(9-11),α3(11-13),β1(13-17.25),β2(17.25-21.5)Hz frequency *** reconstructed neuronal sources were segmented into 68 functionally parcellated brain regions,and the percentage of active sources for each region was ***,the differences across the 68 regions among the four gaming conditions were evaluated using the percentage of active *** differences in activation for the dorsal-ventral pathways and some additional brain regions were observed among the four *** game with 2D objects and CA showed higher activation than that with 3D objects and RA,*** dorsal pathway was found to be more active in contrast to the ventral *** findings suggest that angular disparity and dimensionality in MR influence the engagement of dorsal-ventral visual pathways in such a way that angular disparit

关键词： Mental rotation EEG source localization DICS beamformer dorsal-ventral pathway

Isomorphic 2D/3D Objects and Saccadic Characteristics in Mental Rotation

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Computers, Materials & Continua 2022年第1期70卷 433-450页

Mental rotation(MR)is an important aspect of cognitive processing in gaming since transformation andmanipulation of visuospatial information are necessary in order to execute a gaming *** study provides insights on saccadic characteristics in gaming task performance that involves 2D and 3D isomorphic objects with varying angular *** participants(N=60)performedMR gaming *** participantwas tested individually in an acoustic treated lab *** behavior data of all participants were recorded during task execution and analyzed to find the changes in spatiotemporal characteristics of saccades associated with the variation in angular disparity and *** were four groups with unique combination of angular disparity and dimensionality,each with fifteen participants randomly *** indicate that the spatial characteristics of the object affect the temporal aspect of saccade(duration),whereas the spatial aspect of the saccade(amplitude)is influenced by the objects’dimension.A longer saccade duration indicates a prolonged suppression of spatial information processing during the MR tasks with objects at convex range angular ***,the MR tasks with convex angular disparity become more complex to process compared to the tasks with reflex angular *** process is faster and more accurate with 3D objects compared to the 2D *** is an interaction between angular disparity and dimensionality in terms of mental demand,such that theMR processing with 2Dobjects in reflex angular disparitywasmoremental demanding than that of convex angular disparity;however,this trend was absent in case of ***,during the MR task,the longer saccade duration implies that the taskswith convex angular disparities become comparativelymore ***,the lower saccadic amplitude for 2D objects indicates difficulties in processing due to deficient visual *** findings could help in framing the c

关键词： Mental rotation computer-game angular disparity dimensionality gaze behavior

Dimensionality and Angular Disparity Influence Mental Rotation in Computer Gaming

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Computers, Materials & Continua 2022年第7期72卷 887-905页

Computer gaming is one of the most common activities that individuals are indulged in their usual activities concerning interactive systembased *** processing is an essential aspect of mental rotation(MR)in playing *** studies have explored how objects’features affect theMRprocess;however,non-isomorphic 2Dand 3D objects lack a fair *** addition,the effects of these features on brain activation during the MR in computer-games have been less *** study investigates how dimensionality and angular disparity affect brain activation duringMRin ***(electroencephalogram)data were recorded from sixty healthy adults while playing an MR-based computer *** 2D and 3D visual objects with convex and reflex angular disparity were presented in the ***-based permutation tests were applied on EEG spectral power for frequency range 3.5–30 Hz to identify significant spatio-spectral ***,the band-specific hemispheric lateralization was evaluated to investigate task-specific *** results indicated higher alpha desynchronization in the left hemisphere during MR compared to *** fronto-parietal areas showed neural activations during the game with convex angular disparities and 3D objects,for a frequency range of 7.8–14.2Hz and 7.8–10.5Hz,*** areas also showed activations during the game with reflex angular disparities and 2D objects,but for narrower frequency bands,i.e.,8.0–10.0 Hz and 11.0–11.7 Hz,*** hemispheric dominance was observed for alpha and beta ***,the right parietal region was notably more dominant for convex angular disparity and 3D ***,the results showed higher neural activities elicited by convex angular disparities and 3D objects in the game compared to the reflex angles and *** findings suggest future applications,such as cognitive modeling and controlled MR training using computer g

关键词： Computer-based games angular disparity dimensionality mental rotation EEG hemispheric laterality

Cutting-Edge Technologies on Automotive and Mobility Applied in Beijing 2022 Winter Olympics

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Automotive Innovation 2022年第1期5卷 1-2页

作者： Cheng Lin Diange Yang National Engineering Laboratory for electric vehicles Beijing Institute of TechnologyBeijingChina State Key Laboratory of Automotive Safety and Energy and Center for Intelligent Connected Vehicles and TransportationTsinghua UniversityBeijingChina

electric vehicles(EVs)and intelligent and connected vehicles(ICVs)are promising solutions for a more sustainable environment and safer *** better performance,EVs and ICVs need to address issues in special conditions,such as extremely cold weather,complex routes,and mixed traffic scenarios,where hazards associated with batteries,propulsion systems,and other automotive technologies could pose risks to vehicles.

关键词： weather Winter Automotive

Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions

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Journal of intelligent and Connected vehicles 2022年第1期5卷 17-35页

作者： Nengchao Lyu Yugang Wang Chaozhong Wu Lingfeng Peng Alieu Freddie Thomas intelligent transportation systems Research center Wuhan University of TechnologyWuhanChina intelligent transportation systems Research center Wuhan University of TechnologyWuhanChina and National Engineering Research Center for Water Transport SafetyWuhan University of TechnologyWuhanChina

Purpose–An individual’s driving style significantly affects overall traffic ***,driving style is difficult to identify due to temporal and spatial differences and scene heterogeneity of driving behavior *** such,the study of real-time driving-style identification methods is of great significance for formulating personalized driving strategies,improving traffic safety and reducing fuel *** study aims to establish a driving style recognition framework based on longitudinal driving operation conditions(DOCs)using a machine learning model and natural driving data collected by a vehicle equipped with an advanced driving assistance system(ADAS).Design/methodology/approach–Specifically,a driving style recognition framework based on longitudinal DOCs was *** train the model,a real-world driving experiment was ***,the driving styles of 44 drivers were preliminarily identified through natural driving data and video data;drivers were categorized through a subjective evaluation as conservative,moderate or ***,based on the ADAS driving data,a criterion for extracting longitudinal DOCs was ***,taking the ADAS data from 47 Kms of the two test expressways as the research object,six DOCs were calibrated and the characteristic data sets of the different DOCs were extracted and ***,four machine learning classification(MLC)models were used to classify and predict driving style based on the natural driving ***–The results showed that six longitudinal DOCs were calibrated according to the proposed calibration *** drivers undertook the largest proportion of the free cruise condition(FCC),while aggressive drivers primarily undertook the FCC,following steady condition and relative approximation *** with cautious and moderate drivers,aggressive drivers adopted a smaller time headway(THW)and distance headway(DHW).THW,time-to-collision(TTC)and DHW showed highly sig

关键词： Machine learning Advanced driver assistant systems Driver behaviors and assistance Sensor data processing

Design and Implementation of a Battery Big Data Platform Through intelligent Connected electric vehicles

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Chinese Journal of Mechanical Engineering 2023年第2期36卷 291-301页

作者： Rui Xiong Baoqiang Zhu Kui Zhang Yanzhou Duan Fengchun Sun National Engineering Research center for electric vehicles School of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China

The development of a battery management algorithm is highly dependent on high-quality battery operation data,especially the data in extreme conditions such as low *** data in faults are also essential for failure and safety management *** study developed a battery big data platform to realize vehicle operation,energy interaction and data ***,we developed an electric vehicle with vehicle navigation and position detection and designed an environmental cabin that allows the vehicle to operate ***,charging and heating systems based on wireless energy transfer were developed and equipped on the vehicle to investigate optimal charging and heating methods of the batteries in the ***,the data transmission network was designed,a real-time monitoring interface was developed,and the self-developed battery management system was used to measure,collect,upload,and store battery operation data in real ***,experimental validation was performed on the *** demonstrate the efficiency and reliability of the *** state of charge estimation is used as an example to illustrate the availability of battery operation data.

关键词： intelligent connected electric vehicle Battery Operation data State estimation Wireless energy transfer