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Intelligent decision-making method for vehicles in emergency conditions based on artificial potential fields and finite state machines

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2024年第1期7卷 19-29页

作者： Xunjia Zheng Huilan Li Qiang Zhang Yonggang Liu Xing Chen Hui Liu Tianhong Luo Jianjie Gao Lihong Xia China automotive Engineering Research institute Co. Ltd.Chongqing 401122China School of Intelligent Manufacturing Engineering Chongqing University of Arts and SciencesChongqing 402160China Department of Information and Intelligence Engineering Chongqing City Vocational CollegeChongqing 402160China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Intelligent Policing Key Laboratory of Sichuan Province Luzhou 646000China

This study aims to propose a decision-making method based on artificial potential fields(APFs)and finite state machines(FSMs)in emergency *** study presents a decision-making method based on APFs and FSMs for emergency *** modeling the longitudinal and lateral potential energy fields of the vehicle,the driving state is identified,and the trigger conditions are provided for path planning during lane *** addition,this study also designed the state transition rules based on the longitudinal and lateral virtual *** established the vehicle decision-making model based on the finite state machine to ensure driving safety in emergency *** illustrate the performance of the decision-making model by considering APFs and finite state *** version of the model in the co-simulation platform of MATLAB and CarSim shows that the developed decision model in this study accurately generates driving behaviors of the vehicle at different time *** contributions of this study are two-fold.A hierarchical vehicle state machine decision model is proposed to enhance driving safety in emergency *** models for determining the transition thresholds of lateral and longitudinal vehicle states are established based on the vehicle potential field model,leading to the formulation of transition rules between different states of autonomous vehicles(AVs).

关键词： decision-making artificial potential field finite state machines emergency conditions autonomous driving

A Multiscale Reliability-Based Design Optimization Method for Carbon-Fiber-Reinforced Composite Drive Shafts

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1975-1996页

作者： Huile Zhang Shikang Li Yurui Wu Pengpeng Zhi Wei Wang Zhonglai Wang Yangtze Delta Region institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou313001China Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization Huzhou CollegeHuzhou313000China SAIC Motor Corporation Limited Passenger Vehicle Co. Shanghai201804China School ofMechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China

Carbon fiber composites,characterized by their high specific strength and low weight,are becoming increasingly crucial in automotive ***,current research primarily emphasizes layer count and orientation,often neglecting the potential of microstructural design,constraints in the layup process,and performance *** study,therefore,introduces a multiscale reliability-based design optimization method for carbon fiber-reinforced plastic(CFRP)drive ***,parametric modeling of the microscale cell was performed,and its elastic performance parameters were predicted using two homogenization methods,examining the impact of fluctuations in microscale cell parameters on composite material performance.A finite element model of the CFRP drive shaft was then constructed,achieving parameter transfer between microscale and macroscale through Python *** enabled an investigation into the influence of both micro and macro design parameters on the CFRP drive shaft’s *** Multi-Objective Particle Swarm Optimization(MOPSO)algorithm was enhanced for particle generation and updating strategies,facilitating the resolution of multi-objective reliability optimization problems,including composite material layup process *** studies demonstrated that this approach leads to over 30%weight reduction in CFRP drive shafts compared to metallic counterparts while satisfying reliability requirements and offering insights for the lightweight design of other vehicle components.

关键词： Multiscale reliability-based design optimization carbon-fabric-reinforced composite drive shaft

In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification

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automotive Innovation 2024年第1期7卷 138-149页

作者： Haojie Ji Liyong Wang Hongmao Qin Yinghui Wang Junjie Zhang Biao Chen Key Laboratory of Modern Measurement and Control technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100192China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Hefei Innovation Research institute Beihang UniversityHefei 230012China

Detecting abnormal data generated from cyberattacks has emerged as a crucial approach for identifying security threats within in-vehicle *** transmission of information through in-vehicle networks needs to follow specific data for-mats and communication protocols ***,statistical algorithms are employed to learn these variation rules and facilitate the identification of abnormal ***,the effectiveness of anomaly detection outcomes often falls short when confronted with highly deceptive in-vehicle network *** this study,seven representative classification algorithms are selected to detect common in-vehicle network attacks,and a comparative analysis is employed to identify the most suitable and favorable detection *** consideration of the communication protocol characteristics of in-vehicle networks,an optimal convolutional neural network(CNN)detection algorithm is proposed that uses data field characteristics and classifier selection,and its comprehensive performance is *** addition,the concept of Hamming distance between two adjacent packets within the in-vehicle network is introduced,enabling the proposal of an enhanced CNN algorithm that achieves robust detection of challenging-to-identify abnormal *** paper also presents the proposed CNN classifica-tion algorithm that effectively addresses the issue of high false negative rate(FNR)in abnormal data detection based on the timestamp feature of data *** experimental results validate the efficacy of the proposed abnormal data detection algorithm,highlighting its strong detection performance and its potential to provide an effective solution for safeguarding the security of in-vehicle network information.

关键词： Classification algorithm Anomaly detection In-vehicle network Feature extraction Injecting attack

State of charge estimation by finite difference extended Kalman filter with HPPC parameters identification

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Science China(Technological Sciences) 2020年第3期63卷 410-421页

作者： HE Lin HU MinKang WEI YuJiang LIU BingJiao SHI Qin automotive Research institute Hefei University of TechnologyHefei 230009China School of automotive and Transportation Engineering Hefei University of TechnologyHefei 230009China

State of charge(SOC) is a key parameter of lithium-ion battery. In this paper, a finite difference extended Kalman filter(FDEKF)with Hybrid Pulse Power Characterization(HPPC) parameters identification is proposed to estimate the SOC. The finite difference(FD) algorithm is benefit to compute the partial derivative of nonlinear function, which can reduce the linearization error generated by the extended Kalman filter(EKF). The FDEKF algorithm can reduce the computational load of controller in engineering practice without solving the Jacobian matrix. It is simple of dynamic model of lithium-ion battery to adopt a secondorder resistor-capacitor(2 RC) network, the parameters of which are identified by the HPPC. Two conditions, both constant current discharge(CCD) and urban dynamometer driving schedule(UDDS), are utilized to validate the FDEKF *** convergence rate and accuracy between the FDEKF and the EKF algorithm, it can be seen that the former is a better candidate to estimate the SOC.

关键词： state of charge lithium-ion battery parameters identification finite difference algorithm extended Kalman filter

Rapid and real-time detection of municipal sludge moisture content based on microwave reflection principle

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Waste Disposal and Sustainable Energy 2024年第2期6卷 259-269页

作者： Yan Zhang Yanhong Jiao Jun Li Long Deng Binqi Rao Hao Xu Peng Xu Lijiang Hu Chunping Li College of Mechanical and Electrical Engineering China Jiliang UniversityHangzhou 310018China New Energy Engineering and automotive College Huzhou Vocational and Technical CollegeHuzhou 313099China College of Electronics and Information Engineering Wuxi UniversityWuxi214105China National institute of Metrology Beijing 100029China College of Science China Jiliang UniversityHangzhou 310018China Anji Guoqian Environment Co. LtdHuzhou 313300China Zhejiang Hongshi Environmental Protection Co. LtdJinhua 321100China

The moisture content(MC)of municipal sludge is the key factor affecting sludge treatment and disposal technologies,while the vast majority of existing measurement methods are off-line and *** realize rapid online detection for the MC of sludge,a detection method based on the microwave reflection principle is proposed:experiments are carried out and the MC computation model of the sludge is derived using the resonant frequency and the permittivity(e').The results reveal that the detection accuracy of granular sludge with a thickness of 10 mm is *** theoretical model between the MC and the real part of e'is developed,and the relationship between the resonant frequency and e'is expressed by a cubic *** average error and the root mean square error(RMSE)of sludge are 2.06%and 2.49%,*** prediction model for the MC of sludge is also given,and the determination coefficient and RMSE are 0.981 and 2.06%,respectively.

关键词： Municipal sludge Moisture content Resonator Real-time detection Resonant frequency

A Review on the Advancement of Renewable Natural Fiber Hybrid Composites: Prospects, Challenges, and Industrial Applications

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Journal of Renewable Materials 2024年第7期12卷 1237-1290页

作者： Mohammed Mohammed Jawad K.Oleiwi Aeshah M.Mohammed Anwar Ja’afar Mohamad Jawad Azlin F.Osman Tijjani Adam Bashir O.Betar Subash C.B.Gopinath Center of Excellence Geopolymer&Green technology(CEGeoGTech) Universiti Malaysia PerlisArau02600Malaysia Faculty of Chemical Engineering technology Universiti Malaysia Perlis(UniMAP)Arau02600Malaysia Department of Materials Engineering University of TechnologyBaghdad10070Iraq Department of Chemical Materials University of Bagdad College of Education for Pure Science Ibn-AlhaithamBaghdad10001Iraq Department of Computer Techniques Engineering Al-Rafidain University CollegeBaghdad10001Iraq Faculty of Electronics Engineering technology Universiti Malaysia PerlisKampus Uniciti Alam Sg.ChuchuhPerlis02100Malaysia Research Center(NANOCAT) University of MalayaKuala Lumpur50603Malaysia institute of Nano Electronic Engineering Universiti Malaysia PerlisPerlis01000Malaysia Center for Global Health Research Saveetha Medical College&HospitalSaveetha Institute of Medical and Technical Sciences(SIMATS)Tamil Nadu602105India

Naturalﬁbre(NFR)reinforced functional polymer composites are quickly becoming an indispensable sustainable material in the transportation industry because of their lightweight,lower cost in manufacture,and adaptability to a wide variety of ***,the major difﬁculties of using theseﬁbres are their existing poor dimensional stability and the extreme *** assessing the mechanical properties(MP)of composites,the interfacial bonding(IB)happening between the NFR and the polymer matrix(PM)plays an incredibly signiﬁcant *** compared to NFR/syntheticﬁbre hybrid composites,hybrid composites(HC)made up of two separate NFR are less prevalent;yet,these hybrid composites also have the potential to be valuable materials in terms of environmental issues.A new dimension to theﬂexibility of composites reinforced with NFR is added by the cost-effective manufacture of hybrid composites utilising *** purpose of this study is to offer an over-view of the keyﬁndings that were presented on hybrid *** emphasis was focused on the factors that inﬂuence the performance of the naturalﬁber composites,diverse approaches to enhancing MP,physical,electri-cal,and thermal characteristics of the *** study in polymer science gains interest for applications in con-struction and automotive industries.

关键词： Renewable naturalﬁber hybrid composites sustainability nanomaterial greener material

Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

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Transportation Safety and Environment 2024年第2期6卷 87-95页

作者： Jinyong Gao Juncheng Zeng Xinyuan Wang Cheng Zhou Hailin Zhang Jintao Lai Fujian Express way Group Co. LtdFuzhou 350000FujianChina Fujian Express way Science&technology Innovation Research institute Co. LtdFuzhou 350000FujianChina Beijing Baidu Netcom Science technology Co. LtdBeijing 100000China Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityShanghai 201804China

Tunnels on freeways,as one of the critical bottlenecks,frequently cause severe congestion and passenger *** solve the tunnel bottleneck problem,most of the existing research can be divided into two *** is to adopt variable speed limits(VSLs)to regulate a predetermined speed for vehicles to get through a bottleneck *** other is to adopt high-occupancy vehicle(HOV)lane *** HOV lane management strategies,all traffic is divided into HOVs and low-occupancy vehicles(LOVs).HOVs are vehicles with a driver and one or more *** are vehicles with only a *** kind of research can grant priority to HOVs by providing a dedicated HOV ***,the existing research cannot both mitigate congestion and maximize passenger-oriented *** address the research gap,this paper leverages connected and automated vehicle(CAV)technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a dynamic HOV lane(DHL).The strategy bears the following features:1)enables tunnel bottleneck management at a microscopic level;2)maximizes passenger-oriented benefits;3)grants priority to HOVs even when the HOV lane is open to LOVs;4)allocates right-of-way segments for HOVs and LOVs in real time;and 5)performs well in a mixed-traffic *** proposed strategy is evaluated through comparison against the non-control baseline and a VSL *** analysis is conducted under different congestion levels and penetration *** results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs’priority level improvement.

关键词： tunnel bottleneck high-occupancy vehicle(HOV) intelligent freeways right-of-way segment

Neural Network Based Terminal Sliding Mode Control for WMRs Affected by an Augmented Ground Friction With Slippage Effect

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IEEE/CAA Journal of Automatica Sinica 2017年第3期4卷 498-506页

作者： Ming Yue Linjiu Wang Teng Ma School of automotive Engineering Dalian University of Technology State Key Laboratory of Robotics and System Harbin Institute of Technology

Wheeled mobile robots(WMRs) encounter unavoidable slippage especially on the low adhesion terrain such that the robots stability and accuracy are reduced *** overcome this drawback,this article presents a neural network(NN) based terminal sliding mode control(TSMC) for WMRs where an augmented ground friction model is reported by which the uncertain friction can be estimated and compensated according to the required *** contrast to the existing friction models,the developed augmented ground friction model corresponds to actual fact because not only the effects associated with the mobile platform velocity but also the slippage related to the wheel slip rate are concerned ***,the presented control approach can combine the merits of both TSMC and radial basis function(RBF) neural networks techniques,thereby providing numerous excellent performances for the closed-loop system,such as finite time convergence and faster friction estimation *** results validate the proposed friction model and robustness of controller;these research results will improve the autonomy and intelligence of WMRs,particularly when the mobile platform suffers from the sophisticated unstructured environment.

关键词： Ground friction radial basis function(RBF) neural network(NN) slippage effect terminal sliding mode control(TSMC) wheeled mobile robot(WMR)

MULTIPLE ELECTRONIC CONTROL UNITS CALIBRATION SYSTEM BASED ON EXPLICIT CALIBRATION PROTOCOL AND J1939 PROTOCOL

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Chinese Journal of Mechanical Engineering 2008年第1期21卷 42-46页

作者： ZHU Keqing XU Quankui YANG Lin ZHUO Bin institute of automotive Electronic technology Shanghai Jiaotong University Shanghai 200030 China

The rising number of electronic control units （ECUs） in vehicles and the decreasing time to market have led to the need for advanced methods of calibration. A multi-ECU calibration system was developed based on the explicit calibration protocol （XCP） and J1939 communication protocol to satisfy the need of calibrating multiple ECUs simultaneously. The messages in the controller area network （CAN） are defined in the J1939 protocol. Each CAN node can get its own calibration messages and information from other ECUs, and block other messages by qualifying the CAN messages with priority, source or destination address. The data field of the calibration message is designed with the XCP, with CAN acting as the transport layer. The calibration sessions are setup with the event-triggered XCP driver in the master node and the responding XCP driver in the slave nodes. Mirroring calibration variables from ROM to RAM enables the user to calibrate ECUs online. The application example shows that the multi-ECU calibration system can calibrate multiple ECUs simultaneously, and the main program can also accomplish its calculation and send commands to the actuators in time. By the multi-ECU calibration system, the calibration effort and time can be reduced and the variables in ECU can get a better match with the variables of other ECUs.

关键词： Electronic control unit (ECU) Calibration Explicit calibration protocol (XCP) J1939 communication protocol Controlled area network (CAN)