Table of Content

25 June 2023, Volume 45 Issue 6 Previous Issue    Next Issue

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Study on the Technology Development of Multi-Domain Electrical and Electronic Architecture for Intelligent Networked Vehicles Yuan Zou,Wenjing Sun,Xudong Zhang,Jiahui Liu,Ya Wen,Wenbin Ma 2023, 45 (6):  895-909.  doi: 10.19562/j.chinasae.qcgc.2023.06.001 Abstract ( 479 )   HTML ( 50 )   PDF (3130KB) ( 1044 )   Save With the continuous development of intelligent and networked vehicle technologies， the traditional electrical and electronic architecture can no longer meet the new requirements of future-oriented vehicle， road， cloud and network integration development. Focusing on the future-oriented multi-domain electrical and electronic architecture of intelligent networked vehicles， this review provides a detailed review of existing technologies in terms of the four aspects of overall design， hardware system， communication system and software system， and provides an outlook on the development of electrical and electronic architecture in China. This paper can provide an important reference value for the research of automotive electrical and electronic architecture technology. Figures and Tables | References | Related Articles | Metrics

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Technical Status and Development Trend of Automotive Operating System Zhihong Wang,Deying Yu,Tianze Ma,Bingquan Chen,Zongyang Li,Hongyan Li 2023, 45 (6):  910-921.  doi: 10.19562/j.chinasae.qcgc.2023.06.002 Abstract ( 256 )   HTML ( 31 )   PDF (2374KB) ( 504 )   Save With the development of automotive electrification and intelligence， its electronic and electrical architecture is changing from traditional distributed architecture to domain centralized architecture and central computing architecture， and vehicle software is upgrading from signal oriented architecture to service-oriented software architecture. Automotive operating system is an important foundation of vehicle software ecology， and it is of great significance to strengthen the development of automotive operating system technology to ensure the safety of intelligent automobile industry in China. Based on this background， this paper reviews the technical architecture， typical products and development status of automotive operating system， compares the mainstream virtual technology products， kernels and middleware at home and abroad， and brings forward the development trend of automotive operating system. Figures and Tables | References | Related Articles | Metrics

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An Overview of Intrusion Detection Methods for In-Vehicle CAN Network of Intelligent Networked Vehicles Yuxin Guan,Haojie Ji,Zhe Cui,He Li,Liwen Chen 2023, 45 (6):  922-935.  doi: 10.19562/j.chinasae.qcgc.2023.ep.002 Abstract ( 318 )   HTML ( 20 )   PDF (2564KB) ( 297 )   Save With the continuous integration of intelligent vehicle and vehicle networking technology， vehicles are developing towards intelligence and networking. As the complexity of in-vehicle network （e.g. CAN network） increases and the way in which vehicles are connected to the outside world increases， the cyber security risks faced by automobiles have risen dramatically. As an important barrier to protect vehicle network security， intrusion detection system can effectively detect external intrusion and abnormal vehicle behavior. Firstly， the security properties of the in-vehicle network are introduced， and the network security issues of the ICV， the vulnerability of the in-vehicle CAN network and the attack modes on it are analyzed. Secondly， the status quo of research on vehicle CAN network intrusion detection methods in recent years is summarized. Finally， several open questions are proposed for the future development of the in-vehicle network intrusion detection system. Figures and Tables | References | Related Articles | Metrics

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Research on Vehicle-Cloud Encryption Communication Architecture Based on Quantum Key Qin Shi,Kangyuan Lu,Teng Cheng,Chuansu Wang,Xing Zhang,Peiling Xu 2023, 45 (6):  936-943.  doi: 10.19562/j.chinasae.qcgc.2023.06.004 Abstract ( 143 )   HTML ( 8 )   PDF (2942KB) ( 143 )   Save At present， the mainstream vehicle-cloud secure communication method uses public key to protect symmetric key to encrypt data， but the public key method is time-consuming and there is the risk of being quickly cracked by supercomputing power represented by quantum computing. Therefore， the current intelligent networked vehicle-cloud communication has great security risk. In this paper， quantum keys are applied to the protection of symmetric keys， and a new vehicle-cloud encryption communication architecture based on quantum keys is proposed， which realizes wireless distribution of symmetric session keys through preset keys and real-time negotiation of symmetric session keys under the BB84 protocol. The security analysis and performance analysis of the above-mentioned architecture show that the architecture has high protection for data in threat scenarios， with the average communication delay and packet loss rate controlled within the range of 16.861 ms and 0.0248%， thus achieving safe and efficient vehicle-cloud communication. Figures and Tables | References | Related Articles | Metrics

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Lightweight TSN Authentication and Authorization Communication Framework for Automotive Zonal Architecture Ruiqi Lu,Guoqi Xie,Xinzhong Liu,Renfa Li 2023, 45 (6):  944-953.  doi: 10.19562/j.chinasae.qcgc.2023.06.005 Abstract ( 132 )   HTML ( 6 )   PDF (2563KB) ( 152 )   Save The demand for intelligent vehicles has driven the evolution of the automotive electrical/electronic （E/E） architecture towards the Zonal architecture based on time-sensitive networking （TSN）. However， the development of networking has brought serious information security issues to data transmission. The three-layer information security protection modules provided by the TSN standard， which consist of flow filters， flow control gates， and flow meters， are essentially boundary firewall technology. Once the boundary is breached， the entire architecture will be exposed and paralyzed. Additionally， this protection technology generates excessive computational and communication overhead due to the multiple layers of processing. This paper proposes a lightweight TSN authentication and authorization communication framework for the automotive Zonal architecture， which employs a boundary-less approach to provide integrated protection against hijacking， tampering， and eavesdropping. A Zonal architecture prototype platform is built based on the NXP automotive-grade TSN switch chip SJA1105Q （as the central controller） and the NXP automotive-grade SoC LS1028A （as the zone controller）， and the developed framework is deployed on this prototype platform. The security properties of the framework are verified using the ProVerif tool. The evaluation results based on the prototype platform show that the proposed framework outperforms existing automotive security communication frameworks in terms of computation and communication overhead. Figures and Tables | References | Related Articles | Metrics

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Design of Automotive Time-Sensitive Network Communication Simulation System Based on OMNeT++ Bowen Wang,Feng Luo,Zitong Wang 2023, 45 (6):  954-964.  doi: 10.19562/j.chinasae.qcgc.2023.06.006 Abstract ( 181 )   HTML ( 13 )   PDF (3394KB) ( 134 )   Save The advancement of automotive technology requires networks to support a variety of communication requirements， such as reliability， real-time performance， low jitter， and strict delay limits. Time Sensitive Network （TSN） is a keyframe transmission delay guarantee solution based on IEEE 802 architecture of automotive Ethernet. In this paper， the TSN automotive Ethernet network simulation system is designed based on OMNeT++ to analyze the performance of various mechanisms of the TSN protocol in vehicle Ethernet application， including when used alone or in combination. At the same time， the performance of the vehicle application is evaluated by using the simulation system for the time-aware scheduling mechanism defined by IEEE 802.1Qbv. Finally， the automotive TSN network embedded platform is built to further verify the performance of time-aware scheduling and modify the network simulation model. The results show that the time-aware scheduling mechanism can not only guarantee the real-time performance of time-sensitive traffic， but also provide excellent transmission for other traffic classes. Figures and Tables | References | Related Articles | Metrics

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Design and Implementation of Ethernet Communication System on ADAS Domain Controller Based on AUTOSAR Yi Zheng,Shimin Zhang,Yunlong Lu 2023, 45 (6):  965-973.  doi: 10.19562/j.chinasae.qcgc.2023.06.007 Abstract ( 143 )   HTML ( 7 )   PDF (2306KB) ( 194 )   Save To meet the growing demand for automotive functions， the automotive electrical/electronic architecture（EEA）is tending towards an integrated and centralizes architecture. The centralized architecture puts forward higher requirements for software portability， standardization and high-speed communication ability. Based on the AUTOSAR architecture， SOME/IP protocol and XCP protocol， a kind of automotive Ethernet communication system software used for ADAS domain controller is designed in this paper， and deployed on the Infineon TC397 hardware platform for test. The test results show that the domain controller Ethernet communication system can meet the communication and debugging demand of intelligent driving function， with great improvement in communication performance compared with the traditional CAN communication protocol. The feasibility and effectiveness of the domain controller high-speed communication system proposed in this paper is verified by the test as well. Figures and Tables | References | Related Articles | Metrics

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Real-Time Detection of Distracted Driving Behavior Based on Deep Convolution-Tokens Dimensionality Reduction Optimized Visual Transformer Model Xia Zhao,Zhao Li,Rui Fu,Zhenzhen Ge,Chang Wang 2023, 45 (6):  974-988.  doi: 10.19562/j.chinasae.qcgc.2023.06.008 Abstract ( 173 )   HTML ( 19 )   PDF (12322KB) ( 220 )   Save To address the problems that the end-to-end Deep Convolutional Neural Network （DCNN） based driving behavior detection model lacks global feature extraction ability， and the Vision Transformer （ViT） model is not good at capturing underlying features with a large number of model parameters， this paper proposes a ViT model that combines deep convolution and Tokens downscaled optimization for real-time detection of driver distraction behavior. Comparison experiments with other models， ablation experiments and visualization experiments of the models’ attention region are carried out to fully validate the superiority of the proposed model. The mean accuracy and precision of the proposed model are 96.93% and 96.95%， respectively. The number of the model parameters is 21.22 M； and the online inference speed based on the real vehicle platform is 23.32 fps， indicating that the proposed model can achieve real-time distracted behavior detection. The result of the study is beneficial to the control strategy development and distraction warning of human-machine co-driving system. Figures and Tables | References | Related Articles | Metrics

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Image Enhancement of Low-Light Parking Space Based on Retinex Zuohua Miao,Liangjian Zhu,Chengcheng Zhao,Daiwen Liu,Yiwen Li,Aoguang Chen 2023, 45 (6):  989-996.  doi: 10.19562/j.chinasae.qcgc.2023.06.009 Abstract ( 87 )   HTML ( 6 )   PDF (4244KB) ( 136 )   Save In the process of automatic parking， the parking space image taken by the fisheye camera on the vehicle is dark due to the low light environment and the parking space information is fuzzy， which makes it impossible to detect the parking space. In this paper， an image enhancement algorithm of parking space line is designed， which combines limited contrast adaptive histogram equalization （CLAHE） and improved single-scale Retinex （SSR）. Firstly， the image distortion of fisheye camera is rectified and converted to generate a bird's eye view. Then， the bird's-eye view is preprocessed by the CLAHE algorithm， which optimizes the calculation process of mapping function. Then， a single-scale Retinex algorithm based on iterative block filtering to estimate incident components is used to enhance the image. After filtering and morphological processing， the image is grayed based on the bright channel prior， and the final enhancement result is obtained. In this paper， multiple sets of videos of actual parking process captured by one-sided fisheye camera in low-light scenes are collected， and single-frame image in the process of passing through parking space is intercepted as data input， and a basic parking space detection algorithm is used to detect the enhancement result. The experiment shows that the number of video frames that can detect parking spaces after enhancement exceeds 90%， with only 38 ms of the processing time of single-frame image enhancement algorithm. Figures and Tables | References | Related Articles | Metrics

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Research on Emergency Trajectory Tracking Control Based on Dynamics Decoupling Yinghong Yu,Li Huang,Yinong Li,Ling Zheng,Jia Zhou,Yixiao Liang 2023, 45 (6):  997-1009.  doi: 10.19562/j.chinasae.qcgc.2023.06.010 Abstract ( 124 )   HTML ( 7 )   PDF (4068KB) ( 251 )   Save For the problem that the accuracy of the traditional trajectory tracking method decreases due to the longitudinal and lateral dynamic coupling of the vehicle under emergency working conditions， a decoupling tracking algorithm is proposed， which realizes the indirect tracking of the motion trajectory by tracking the target motion state of the vehicle on the basis of reduction of the negative coupling effect by the dynamic decoupling. Firstly， based on theoretical derivation and simulation experiments， the causes of vehicle longitudinal and lateral dynamics coupling and its influence on tracking accuracy are explored. Then， by modifying the configuration of the traditional three-degree-of-freedom vehicle dynamics inverse system， the interface is determined， and the feedback forward neural network （BPNN） model is trained with a random dataset to obtain the vehicle plane motion inverse system. Finally， the target motion state inverse solution model based on target motion trajectory and the target trajectory correction model based on pure tracking idea are designed， and the inverse system decoupling method is applied to the long-range tracking task. Simulation and experimental results show that decoupling tracking as a new tracking method can not only complete the tracking task， but also have higher tracking accuracy under coupling conditions compared with the traditional tracking method. Figures and Tables | References | Related Articles | Metrics

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Vehicle Trajectory Tracking Control Based on Road Adhesion Coefficient Estimation Yunfei Zha,Lü Xiaolong,Huiqin Chen,Yingchun Yi,Yanyan Wang 2023, 45 (6):  1010-1021.  doi: 10.19562/j.chinasae.qcgc.2023.06.011 Abstract ( 235 )   HTML ( 10 )   PDF (6437KB) ( 289 )   Save For the trajectory tracking control problem of vehicles under high speed steering and different road adhesion coefficients， a variable sideslip angle constrained MPC control strategy is proposed based on model predictive control theory considering road adhesion coefficients. According to the magic formula tire model， the tire cornering property as well as the influence of different adhesion coefficients on the tire slip angle-lateral force linear region is analysed. Then the function relationship between tire slip angle constraint and different road adhesion coefficients is established. The genetic algorithm （GA） is used to optimize the BP neural network model to design the road adhesion coefficient estimator， and the estimation results are transmitted to the MPC controller as variables related to the tire slip constraint. Finally， the system control quantity constraint， the control increment constraint， and the variable sideslip angle constraint considering the road adhesion coefficient are established in the MPC controller. The trajectory tracking problem under different road adhesion conditions is transformed into the optimal value solution problem under various constraints to realize trajectory tracking and vehicle stability control. The simulation and experimental results show that the MPC control method considering the change of road adhesion coefficient has higher trajectory tracking accuracy and better vehicle stability than the traditional MPC control method under various working conditions， with high estimation accuracy of the GA-BP neural network road coefficient estimation method. Figures and Tables | References | Related Articles | Metrics

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An Approach for Predicting Pedestrian Trajectories in Typical Car Crash Scenarios Yong Han,Xujie Lin,Hongwu Huang,Hongyu Cai,Jinrong Luo,Yangting Li 2023, 45 (6):  1022-1030.  doi: 10.19562/j.chinasae.qcgc.2023.06.012 Abstract ( 158 )   HTML ( 9 )   PDF (2800KB) ( 211 )   Save In order to improve the reliability of perception and decision fusion of vulnerable road users in future autonomous vehicles， in this paper， a pedestrian future trajectory prediction method based on target detection algorithm （YOLOv5）， multi-target tracking algorithm （Deep-Sort） and Social-Long Short-Term Memory （Social-LSTM） neural network is proposed. Combining the YOLOv5 detection and Deep-Sort tracking algorithms， the problem of target loss during pedestrian detection and tracking can be effectively solved. A specific pedestrian target history trajectory is extracted as the input boundary conditions of the prediction framework， and Social-LSTM is used to predict the pedestrian future motion trajectory. The future motion trajectory is also subjected to perspective transformation and direct linear transformation， which is then converted into position information in the world coordinate system to predict the possible future collision locations of vehicles and pedestrians. The results show that the target detection accuracy reaches 93.889% and the average accuracy reaches 96.753%. The results of the final trajectory prediction algorithm based on the high accuracy detection model show that the prediction loss is decreasing with the increase of the training step， and the final loss values are less than 1%， among which the average displacement error is reduced by 18.30% and the final displacement error is reduced by 51.90%. This study can provide a theoretical basis and reference for the development of intelligent vehicle collision avoidance strategies. Figures and Tables | References | Related Articles | Metrics

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Calculation of Heading Angle of Parallel Large Vehicle Based on Tire Feature Points Jiahao Zhao,Zhiquan Qi,Zhifeng Qi,Hao Wang,Lei He 2023, 45 (6):  1031-1039.  doi: 10.19562/j.chinasae.qcgc.2023.06.013 Abstract ( 78 )   HTML ( 6 )   PDF (2970KB) ( 154 )   Save For the poor stability of the prediction results of heading angle of parallel large vehicles in autonomous driving environment perception， this paper proposes a new method for the calculation of heading angle of parallel large vehicle. Firstly， a method based on camera inverse projection model to calculate the heading angle of target vehicle according to the location of feature points of tires in the image is proposed. Subsequently， a sub-branch is added and trained on the existing monocular 3D object detection model for the detection of feature point of tire of large vehicles. Finally， the algorithm in this paper is visually verified. The results show that the method can obtain accurate heading angle of parallel large-scale vehicle， and has better stability than the monocular 3D object detection model. Figures and Tables | References | Related Articles | Metrics

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Suspension State Estimation Based on Wheelbase Preview at Variable Speed Jianhua Chen,Zhongming Xu,Zhifei Zhang 2023, 45 (6):  1040-1049.  doi: 10.19562/j.chinasae.qcgc.2023.06.014 Abstract ( 100 )   HTML ( 7 )   PDF (4192KB) ( 156 )   Save In order to realize the estimation of relative suspension speed and absolute speed of sprung mass at varying vehicle speed， and reduce the number of on-board sensors at the same time， a simplified model of vehicle suspension system with vertical wheel velocity as input is constructed without considering wheel dynamics. A method based on speed-adaptive wheelbase preview and Kalman filter algorithm is designed to estimate the relative speed of suspension and absolute speed of sprung mass of the vehicle. The simulation results show that the proposed method can accurately estimate the relative suspension speed and sprung absolute speed of vehicles traveling at variable speed through low-frequency sinusoidal road， speed bumps， pits and typical random road， and the application of speed adaptive wheelbase preview reduces the number of sensors used. Figures and Tables | References | Related Articles | Metrics

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Prediction and Analysis of Lower Extremity Injuries of Six-year-old Child Pedestrian in Car-Pedestrian Collision Haiyan Li,Shengyi Huang,Kun Li,Shihai Cui,Lijuan He,Lü Wenle 2023, 45 (6):  1050-1061.  doi: 10.19562/j.chinasae.qcgc.2023.06.015 Abstract ( 89 )   HTML ( 5 )   PDF (8631KB) ( 188 )   Save In order to investigate in depth the injury mechanisms and the different causes affected by the front-end and the speed on lower extremity injuries of child pedestrian in the car-pedestrian collision， thirty-two car-pedestrian collision simulations are set up using the injury bionic model of six-year-old pedestrian （TUST IBMs 6YO-P） with detailed anatomical structures and four types of common passenger cars given eight crash speeds. The kinematic and biomechanical responses of lower extremity are analyzed. The nonlinear regression prediction models are developed to assess the injuries of lower extremity. The results indicate that the severity of pediatric lower extremity long bone fractures and knee injuries are directly influenced by the collision speed. The height of the bumper affects the femur injury and knee bending angle， and the height of the spoiler from the ground affects the severity of tibia and fibular injury. By analyzing the data about the knee bending angle and ligament fracture， it is concluded that the medial collateral ligament （MCL）， anterior cruciate ligament （ACL） and posterior cruciate ligament （PCL） are fractured with the knee bending angle exceeding 25.9±0.9°， 38.6±0.7° and 43.2±0.2°， respectively. Furthermore， the injury prediction model of knee bending angle based on the collision velocity and front bumper height is validated to be effective in predicting the knee joint injury. Combining the evaluation parameters of long bone fracture and predicting model of the bending moment of six-year-old child pedestrian lower extremity， it is concluded that the critical velocity for lower extremity long bone fractures of child pedestrian is 17.94 km/h. These results will provide a scientific reference for the formulation of pedestrian safety regulation， the development of pedestrian protection devices， the design of AEB system and digital evaluation. Figures and Tables | References | Related Articles | Metrics

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Typical Collision Scenarios and Accident Characteristics of Accidents not Avoided After Installing Traditional AEB Tiefang Zou,Qiancheng Liu,Liang Wei 2023, 45 (6):  1062-1072.  doi: 10.19562/j.chinasae.qcgc.2023.06.016 Abstract ( 124 )   HTML ( 4 )   PDF (3253KB) ( 164 )   Save In order to understand the typical pedestrian vehicle collision scenarios and accident characteristics after the vehicle is equipped with the automatic emergency braking system （AEB）， 187 accidents are reproduced and the parameters before the collision are collected. Then the effect of the traditional AEB system is evaluated using the combined simulation technology. After 73 accidents （39%） that are not avoided are analyzed with statistical methods， 6 typical types of pedestrian vehicle collision scenarios that are not avoided are obtained. The study shows that the accidents that are not avoided mainly occurr at non-intersections with good lighting conditions and dry road， and the collision speed is lower than 40 km/h in 95.88% cases. The pedestrian vehicle collision injury is significantly reduced， with different reduction magnitude in different scenarios. Uncertainty exists in the reduction of pedestrian ground collision injury， and 61.9% of the cases in typical scenarios have an increased risk of pedestrian ground collision injury， with the proportion of injury increase varying with the change of collision scenarios. Further analysis shows that the main reasons for the increase of pedestrian ground collision injuries are the change of pedestrian landing sequence after AEB reduces the speed， the re-contact of pedestrian lower limbs with the front end of the vehicle， and the change of pedestrian vehicle collision position. The research results can not only provide boundary conditions for the experimental design of intelligent vehicle owners and passive safety research， but also provide support for the design of safer AEB systems. Figures and Tables | References | Related Articles | Metrics

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Analysis of Critical Rub-Impact Speed and Drag Torque of Unconstrained Friction Pair in Wet Clutch Lin Zhang,Yuansheng Zhang,Chao Wei,Yunbing Yan 2023, 45 (6):  1073-1080.  doi: 10.19562/j.chinasae.qcgc.2023.06.017 Abstract ( 116 )   HTML ( 12 )   PDF (3441KB) ( 112 )   Save The drag torque can reduce the transmission efficiency of the wet clutch， shorten its service life and reduce its working reliability. At present， most of the research on the drag torque of wet clutch is based on the average gap distribution model， but the gap distribution between the friction pairs has an important impact on the drag torque， and it is difficult to obtain the gap distribution of each friction pair of wet clutch in working state. Therefore， this paper proposes a simulation method for the clearance distribution of friction pairs in the wet clutch， in which the order statistics method is used to simulate the position of each friction plate and steel plate to obtain the initial clearance distribution law of each friction pair. On this basis， the critical rub-impact speed and drag torque of the unconstrained friction pair system under different working conditions are analyzed by simulation， and verified by test. The results show that when the total clearance of the wet clutch is constant， the critical rub-impact speed of the unconstrained multi friction pair system is less than the critical rub-impact speed based on the assumption of average clearance distribution. With the increase of the total clearance of the wet clutch， the critical rub-impact speed decreases gradually. The drag torque of the unconstrained multi friction pair system is significantly greater than that based on the assumption of average clearance distribution. With the increase of the total clearance of the wet clutch， the drag torque gradually decreases. Figures and Tables | References | Related Articles | Metrics

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Approximation Method of Distribution Function Based on Directional Importance Sampling of Vector-Angle Geometric Mapping and Reliability Analysis of Multiple Failure Modes Junfeng Wang,Jiqing Chen,Fengchong Lan,Qingshan Liu 2023, 45 (6):  1081-1089.  doi: 10.19562/j.chinasae.qcgc.2023.06.018 Abstract ( 74 )   HTML ( 2 )   PDF (2425KB) ( 126 )   Save The directional importance sampling method is a structural reliability simulation method， which is suitable for evaluating nonlinear， multi-dimensional complex structural reliability problems. However， for multidimensional problems， it is relatively inefficient and poorly executable to obtain significant vector samples using the accept/reject method. Therefore， it is necessary to improve or reconstruct distribution functions that are easy to sample. By summarizing the existing distribution functions， the distribution function based on vector-angle geometric mapping is approximated by interpolation methods， and the important angles are sampled uniformly using the one-dimensional Latin hypercube method and then mapped to the important vector samples. The obtained vector samples have stratified uniformity， avoiding aggregation phenomena while covering the entire sample space. The method is effectively used in the analysis of reliability problems of multiple design points and multiple failure modes， and sample allocation scheme is further developed. The applicability and accuracy of the proposed method are verified by nonlinear numerical examples and body structure engineering. Figures and Tables | References | Related Articles | Metrics

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Reliability Analysis Method Based on Multidimensional Sub-Parallelepiped Model and Its Application Lü Hui,Shunjiang Zhong,Zhencong Li,Yisha Cao,Wenbin Shangguan,Kegang Zhao 2023, 45 (6):  1090-1098.  doi: 10.19562/j.chinasae.qcgc.2023.06.019 Abstract ( 95 )   HTML ( 2 )   PDF (2691KB) ( 80 )   Save For the problems that the large uncertainty and correlation coexist in the uncertain parameters of the automotive structural system， the reliability analysis method based on multidimensional sub-parallelepiped model and its application are investigated in this study. Firstly， a multidimensional sub-parallelepiped model is proposed by dividing the boundary intervals of multidimensional parallelepiped model， which is used to describe the system parameters with large uncertainty. Then， a non-probabilistic uncertainty analysis method is proposed by combining the first-order perturbation method with the multidimensional sub-parallelepiped model， which is suitable for handling the system parameters with large uncertainty and correlation. Next， the reliability analysis model of the system is established based on the uncertainty analysis method and the reliability analysis study is carried out. Finally， the automotive acoustic-structure coupling system， the disc brake system， and the powertrain mounting system of an electric vehicle are taken as the research objects to carry out numerical analysis. The uncertainty and reliability of the system response are analyzed， and the effectiveness of the proposed method is verified. The analysis results show that the proposed method can effectively deal with the problems with uncertain parameters involving large uncertainty and correlation， and the proposed method has high calculation accuracy and efficiency. Figures and Tables | References | Related Articles | Metrics