SAE International Journal of Vehicle Dynamics, Stability, and NVH最新文献

{"title":"Effect of Shock Absorber Friction on Vehicle Vertical\u0000 Dynamics","authors":"C. Deubel, Scott Jarod Schneider, Günther Prokop","doi":"10.4271/10-08-02-0010","DOIUrl":"https://doi.org/10.4271/10-08-02-0010","url":null,"abstract":"In order to efficiently predict and investigate a vehicle’s vertical dynamics, it\u0000 is necessary to consider the suspension component properties holistically.\u0000 Although the effects of suspension stiffness and damping characteristics on\u0000 vertical dynamics are widely understood, the impact of suspension friction in\u0000 various driving scenarios has rarely been studied in both simulation and road\u0000 tests for several decades.\u0000\u0000 \u0000The present study addresses this issue by performing driving tests using a\u0000 special device that allows a modification of the shock absorber or damper\u0000 friction, and thus the suspension friction to be modified independently of other\u0000 suspension parameters. Initially, its correct functioning is verified on a shock\u0000 absorber test rig. A calibration and application routine is established in order\u0000 to assign definite additional friction forces at high reproducibility\u0000 levels.\u0000\u0000 \u0000The device is equipped in a medium-class passenger vehicle, which is driven on\u0000 various irregular road sections as well as over single obstacles. For all tested\u0000 road sections, a linear decrease of ride comfort in terms of specific relevant\u0000 vertical objective values is found by increasing the friction force. This\u0000 emphasizes a definite link between suspension friction and vertical vehicle body\u0000 vibration, resulting in a negative impact on vertical ride comfort. However, the\u0000 longitudinal vehicle body vibration is not significantly affected.\u0000\u0000 \u0000The relevance of friction in terms of transmitting the energy associated with\u0000 road unevenness to the chassis in the frequency range of the chassis’ natural\u0000 frequency is found to be remarkably high on smooth roads, and still considerably\u0000 high on bumpy roads. The chassis and wheel resonance frequencies are\u0000 significantly friction-dependent due to the damper’s slip or stick states. The\u0000 results obtained from smooth road tests demonstrate the practical relevance of\u0000 accurately considering friction for the given suspension type in terms of\u0000 vertical ride comfort prediction.","PeriodicalId":514913,"journal":{"name":"SAE International Journal of Vehicle Dynamics, Stability, and NVH","volume":"1996 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Overview of Motion-Planning Algorithms for Autonomous Ground\u0000 Vehicles with Various Applications","authors":"Ajitesh Gautam, Yuping He, Xianke Lin","doi":"10.4271/10-08-02-0011","DOIUrl":"https://doi.org/10.4271/10-08-02-0011","url":null,"abstract":"With the rapid development and the growing deployment of autonomous ground\u0000 vehicles (AGVs) worldwide, there is an increasing need to design reliable,\u0000 efficient, robust, and scalable motion-planning algorithms. These algorithms are\u0000 crucial for fulfilling the desired goals of safety, comfort, efficiency, and\u0000 accessibility. To design optimal motion-planning algorithms, it is beneficial to\u0000 explore existing techniques and make improvements by addressing the limitations\u0000 of associated techniques, utilizing hybrid algorithms, or developing novel\u0000 strategies. This article categorizes and overviews numerous motion-planning\u0000 algorithms for AGVs, shedding light on their strengths and weaknesses for a\u0000 comprehensive understanding. For various applications of AGVs, such as urban and\u0000 off-road autonomous driving, the features of driving conditions and vehicle\u0000 kinodynamics are outlined, and sample-tailored motion-planning algorithms built\u0000 upon relevant canonical techniques are briefly introduced. As a result of the\u0000 overview, future research efforts on motion-planning techniques are identified\u0000 and discussed.","PeriodicalId":514913,"journal":{"name":"SAE International Journal of Vehicle Dynamics, Stability, and NVH","volume":"145 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140750478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vibration-Induced Discomfort in Vehicles: A Comparative Evaluation\u0000 Approach for Enhancing Comfort and Ride Quality","authors":"Cor-Jacques Kat, Viktor Skrickij, B. Shyrokau, Paulius Kojis, M. Dhaens, Sara Mantovani, Francesco Gherardini, S. Strano, M. Terzo, Hiroshi Fujimoto, Aldo Sorniotti, P. Camocardi, A. Victorino, Valentin Ivanov","doi":"10.4271/10-08-02-0009","DOIUrl":"https://doi.org/10.4271/10-08-02-0009","url":null,"abstract":"This article introduces a methodology for conducting comparative evaluations of\u0000 vibration-induced discomfort. The aim is to outline a procedure specifically\u0000 focused on assessing and comparing the discomfort caused by vibrations. The\u0000 article emphasizes the metrics that can effectively quantify vibration-induced\u0000 discomfort and provides insights on utilizing available information to\u0000 facilitate the assessment of differences observed during the comparisons. The\u0000 study also addresses the selection of appropriate target scenarios and test\u0000 environments within the context of the comparative evaluation procedure. A\u0000 practical case study is presented, highlighting the comparison of wheel corner\u0000 concepts in the development of new vehicle architectures. Currently, the\u0000 evaluation criteria and difference thresholds available allow for comparative\u0000 evaluations within a limited range of vehicle vibration characteristics.","PeriodicalId":514913,"journal":{"name":"SAE International Journal of Vehicle Dynamics, Stability, and NVH","volume":"8 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140244035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of Lateral Velocity and Cornering Stiffness in Vehicle\u0000 Dynamics Based on Multi-Source Information Fusion","authors":"Guoying Chen, Jun Yao, Zhenhai Gao, Zheng Gao, Xinyu Wang, Nan Xu, Min Hua","doi":"10.4271/10-08-01-0003","DOIUrl":"https://doi.org/10.4271/10-08-01-0003","url":null,"abstract":"To address the challenge of directly measuring essential dynamic parameters of\u0000 vehicles, this article introduces a multi-source information fusion estimation\u0000 method. Using the intelligent front camera (IFC) sensor to analyze lane line\u0000 polynomial information and a kinematic model, the vehicle’s lateral velocity and\u0000 sideslip angle can be determined without extra sensor expenses. After evaluating\u0000 the strengths and weaknesses of the two aforementioned lateral velocity\u0000 estimation techniques, a fusion estimation approach for lateral velocity is\u0000 proposed. This approach extracts the vehicle’s lateral dynamic characteristics\u0000 to calculate the fusion allocation coefficient. Subsequently, the outcomes from\u0000 the two lateral velocity estimation techniques are merged, ensuring rapid\u0000 convergence under steady-state conditions and precise tracking in dynamic\u0000 scenarios. In addition, we introduce a tire parameter online adaptive module\u0000 (TPOAM) to continually update essential tire parameters such as cornering\u0000 stiffnesses, with its effectiveness demonstrated through DLC and slalom\u0000 simulation tests. Using a dual extended Kalman filter (DEKF) observer, the\u0000 article allows for joint estimation of vehicle states and tire parameters.\u0000 Ultimately, we offer a cost-effective estimation method of vital dynamic vehicle\u0000 parameters to support the motion control module in autonomous driving.","PeriodicalId":514913,"journal":{"name":"SAE International Journal of Vehicle Dynamics, Stability, and NVH","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139385688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}