Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)最新文献

Research on the Potential of Front Wheel Steering Control for Vehicle Dynamics Control 前轮转向控制在汽车动力学控制中的潜力研究

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-69915

Sheng Zheng, Yiming Cheng, Liangyao Yu

{"title":"Research on the Potential of Front Wheel Steering Control for Vehicle Dynamics Control","authors":"Sheng Zheng, Yiming Cheng, Liangyao Yu","doi":"10.1115/detc2021-69915","DOIUrl":"https://doi.org/10.1115/detc2021-69915","url":null,"abstract":"\u0000 The development of active steering control technology not only provides key actuators for intelligent vehicle motion control, but also expands vehicle stability and safety. This paper studies the potential control ability of the front-wheel steering control to the vehicle plane dynamics, and the controllable area boundary is designed on the phase plane of side slip angle and yaw rate. Previous studies have defined a dynamics stable area on the vehicle states phase plane, in which the vehicle state can autonomously return to a stable equilibrium point. The area outside the stable area are divided into the controllable area and the uncontrollable area in this paper. In the controllable area, the front-wheel steering control has the ability to pull the vehicle states back towards the stable area. Considering actuator constraints and model errors, based on the principle of safety design, a band-shaped critical area is designed to separate the controllable area from the uncontrollable area, and the linear mathematical model of the controllable area boundary is designed. In order to verify the rationality of the controllable area definition, nonlinear model predictive controller is designed to control the vehicle outside the dynamics stable area. The controller uses the high-fidelity nonlinear vehicle model and the magic formula tire model as the state equation constraints, and the practical steering actuator constraints are used as the control input constraints, and the nonlinear numerical optimization solver is used to solve the optimal steering input sequence. The phase plane analysis of the controlled vehicle verifies the rationality of the controllable area defined in this paper.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122294452","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}

引用次数: 0

Design, Modeling and Ride Analysis of Energy-Harvesting Hydraulically Interconnected Suspension 蓄能液压互联悬架设计、建模及平顺性分析

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-68650

Bonan Qin, Yuzhe Chen, L. Zuo

{"title":"Design, Modeling and Ride Analysis of Energy-Harvesting Hydraulically Interconnected Suspension","authors":"Bonan Qin, Yuzhe Chen, L. Zuo","doi":"10.1115/detc2021-68650","DOIUrl":"https://doi.org/10.1115/detc2021-68650","url":null,"abstract":"\u0000 This paper introduces a novel energy-harvesting hydraulically interconnected suspension (EH-HIS) to improve the riding comfort and road handling performance for off-road vehicles while harvesting the vibration energy traditionally dissipated into heat by the oil shock absorbers. To understand the system, we built a model of the off-road vehicle equipped with the EH-HIS and conducted the performance analysis. The system model is established based on the pressure drop principle and validated by commercial simulation software AMESim. The damping characteristic and energy harvesting performance have been investigated based on the mathematical suspension model. Further, a thorough analysis is implemented to compare the dynamic responses of the vehicle equipped with the traditional suspension and EH-HIS under different driving speeds and road classes. Results show that the EH-HIS system can provide tunable asymmetric damping from 3134 Ns/ to 7558 Ns/m, which covers most of the damping range of the off-road vehicles. The average regenerative power of the half EH-HIS system reaches 438 watts, and the corresponding hydraulic efficiency reaches 19%, at a vibration input of 2 Hz frequency and 30 mm amplitude. The ride analysis shows that the vehicle equipped with the EH-HIS system on the D class road has good handling stability and better ride comfort over the traditional suspension.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127983498","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}

引用次数: 0

A Mixed Sideslip Yaw Rate Stability Controller for Over-Actuated Vehicles 过度驱动车辆混合侧滑偏航率稳定性控制器

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-68260

Alex Gimondi, M. Corno, S. Savaresi

{"title":"A Mixed Sideslip Yaw Rate Stability Controller for Over-Actuated Vehicles","authors":"Alex Gimondi, M. Corno, S. Savaresi","doi":"10.1115/detc2021-68260","DOIUrl":"https://doi.org/10.1115/detc2021-68260","url":null,"abstract":"\u0000 Electronic stability control (ESC) has become a fundamental safety feature for passenger cars. Commonly employed ESCs are based on differential braking. Nevertheless, electric vehicles’ growth, particularly those featuring an over-actuated configuration with individual wheel motors, allows for maintaining driveability without slowing down the vehicle. Standard control strategies are based on yaw rate tracking. The reference signal is model-based and needs precise knowledge of the friction coefficient. To increase the system robustness, more sophisticated approaches that include vehicle sideslip are introduced. Still, it is unclear how the two signals have to be weighted, and rarely proposed controllers have been experimentally validated. In this paper, we present a mixed sideslip and yaw rate stability controller. The mixed approach allows to address the control design as a single-input single-output problem simplifying the tuning process. Furthermore, we explain the rationale behind the choice of the weighting parameter. Eventually, the proposed ESC is validated following EU regulation in simulation and with an experimental vehicle on dry asphalt and snow. The results obtained in all the performed tests demonstrate that the proposed control strategy is robust and effective. The mixed approach is able to halve the sideslip in critical conditions with respect to a pure yaw rate approach.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121407425","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}

引用次数: 2

A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles 重型车辆铅酸蓄电池荷电状态估计的机器学习方法

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-68469

Sara Luciani, Stefano Feraco, A. Bonfitto, A. Tonoli, N. Amati, Maurizio Quaggiotto

{"title":"A Machine Learning Method for State of Charge Estimation in Lead-Acid Batteries for Heavy-Duty Vehicles","authors":"Sara Luciani, Stefano Feraco, A. Bonfitto, A. Tonoli, N. Amati, Maurizio Quaggiotto","doi":"10.1115/detc2021-68469","DOIUrl":"https://doi.org/10.1115/detc2021-68469","url":null,"abstract":"\u0000 In the automotive framework, an accurate assessment of the State of Charge (SOC) in lead-acid batteries of heavy-duty vehicles is of major importance. SOC is a crucial battery state that is non-observable. Furthermore, an accurate estimation of the battery SOC can prevent system failures and battery damage due to a wrong usage of the battery itself. In this context, a technique based on machine learning for SOC estimation is presented in this study. Thus, this method could be used for safety and performance monitoring purposes in electric subsystem of heavy-duty vehicles. The proposed approach exploits a Genetic Algorithm (GA) in combination with Artificial Neural Networks (ANNs) for SOC estimation. Specifically, the training parameters of a Nonlinear Auto-Regressive with Exogenous inputs (NARX) ANN are chosen by the GA-based optimization. As a consequence of the GA-based optimization, the ANN-based SOC estimator architecture is defined. Then, the proposed SOC estimation algorithm is trained and validated with experimental datasets recorded during real driving missions performed by a heavy-duty vehicle. An equivalent circuit model representing the retained lead-acid battery is used to collect the training, validation and testing datasets that replicates the recorded experimental data related to electrical consumers and the cabin systems or during overnight stops in heavy-duty vehicles. This article illustrates the architecture of the proposed SOC estimation algorithm along with the identification procedure of the ANN parameters with GA. The method is able to estimate SOC with a low estimation error, being suitable for deployment on common on-board Battery Management Systems (BMS).","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124226427","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}

引用次数: 1

Improved Anti-Lock Braking System With Real-Time Friction Detection to Maximize Vehicle Performance 改进的防抱死制动系统与实时摩擦检测，以最大限度地提高车辆性能

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-68431

V. M. Arricale, A. Maiorano, L. Mosconi, G. Napolitano Dell’Annunziata, E. Rocca, Nicola Albarella

引用次数: 0

Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles 轻度混合动力汽车ECMS等效因子的优化选择

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-71621

Shailesh U. Hegde, A. Bonfitto, Hadi Rahmeh, N. Amati, A. Tonoli

{"title":"Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles","authors":"Shailesh U. Hegde, A. Bonfitto, Hadi Rahmeh, N. Amati, A. Tonoli","doi":"10.1115/detc2021-71621","DOIUrl":"https://doi.org/10.1115/detc2021-71621","url":null,"abstract":"\u0000 The increasing stringent emissions regulation over the years have shifted the focus of automotive industry towards more efficient fuel economy solutions. One such solution is Hybrid electric architecture, which is able to improve the fuel economy and consequently cutting down emissions. A well known control strategy to solve optimization problem for energy management of Hybrid electric vehicles is ECMS (Equivalent Consumption Minimization Strategy). Finding the best control parameters (equivalence factors) of this strategy may become quite involved. This paper proposes a method for the selection of the optimal equivalence factors, for charging and discharging, by applying genetic algorithm in the case of a P0 mild hybrid electric vehicle. This method is a systematic and deterministic way to guarantee an optimal solution with respect to the trial and error method. The proposed ECMS is compared to a technique available in literature, known as the shooting method, which relies only on one equivalence factor for discharging. It is demonstrated that the performance in terms of pollutant emissions are comparable. However, ECMS with GA always guarantees an optimal solution even in the case of heavy accessory load, when shooting method is not valid anymore, as it does not guarantee a charge sustaining condition.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116335183","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}

引用次数: 5

Remote Emergency Braking System for Autonomous Racing Electric Vehicles 自动驾驶电动赛车远程紧急制动系统

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-67426

Gennaro Sorrentino, Luca Danese, S. Circosta, Stefano Feraco, Irfan Khan, Sara Luciani, A. Bonfitto, N. Amati

{"title":"Remote Emergency Braking System for Autonomous Racing Electric Vehicles","authors":"Gennaro Sorrentino, Luca Danese, S. Circosta, Stefano Feraco, Irfan Khan, Sara Luciani, A. Bonfitto, N. Amati","doi":"10.1115/detc2021-67426","DOIUrl":"https://doi.org/10.1115/detc2021-67426","url":null,"abstract":"\u0000 Advanced brake assist systems can avoid road accidents since the vehicles impact speed can be significantly reduced. To this end, different autonomous emergency braking systems are designed for recent vehicles on the market. This paper presents a pneumo-hydraulic Emergency Braking System (EBS) for autonomous racing vehicles. The purpose of the system is safely stopping the vehicle in case of any failures during autonomous driving. Failures can be detected both by the autonomous system itself and by human supervisors. The actuation system involves passive energy storage of compressed air to directly activate the hydraulic braking lines through pneumo-hydraulic pressure intensifiers. The coupling component between failures detection and actuation is a normally-open solenoid valve. The system is designed to respect deceleration and actuation time requirements, together with packaging constraints due to integration in an existing racing prototype. Specifically, the system requirements are specified by the racing competition rules: the overall reaction time of the retained EBS must be lower than 0.2 s, and the actuated mean deceleration must be greater than 8 m/s2 on a dry track surface while keeping stable driving conditions. The validation and tuning of the system is performed in a simulated environment. Therefore, an extensive experimental validation of the system is required in the real applications.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995952","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}

引用次数: 1

Racing Driver Modeling Based on Driving Behavior 基于驾驶行为的赛车手建模

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-71113

Jinzhen Wang, Yiming Cheng, Liangyao Yu

{"title":"Racing Driver Modeling Based on Driving Behavior","authors":"Jinzhen Wang, Yiming Cheng, Liangyao Yu","doi":"10.1115/detc2021-71113","DOIUrl":"https://doi.org/10.1115/detc2021-71113","url":null,"abstract":"\u0000 The driver model is an important link in the research of shared autonomy control. In order to simulate the driver’s handling characteristics in the complex human-vehicle-road closed-loop system, the driver model is required to accomplish the driving operation under specific working conditions. In this paper, a lateral-longitudinal combined racing driver model is designed. The lateral control model adopts the preview model with far and near viewpoints and the dynamic velocity controller is added into the longitudinal control model to obtain the expected speed of the target trajectory. Finally, the racing driver model proposed in this paper is validated through simulation on track conditions of FSAE. In the given conditions, the result shows the racing driver model outperforms the typical driver model in lateral path tracking and the speed of racing driver model is higher than typical model on straight and corners. Meanwhile, the representation of driving skills is a key step to enhance the adaptive control of vehicles in the future. The control parameters can be adjusted according to the driver’s skill information to make the vehicle control system adapt to the driver’s skill level. This paper introduces the method of driving skill recognition based on wavelet transform and Lipschitz singularity detection theory and the preliminary test results prove the feasibility of using this method to characterize the driver’s operating skill level.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"21 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427155","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}

引用次数: 1

The MAIANDROS System for Random-Vibration-Based On-Board Railway Vehicle and Track Monitoring 基于随机振动的列车和轨道监测MAIANDROS系统

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-70166

G. Vlachospyros, Ilias Iliopoulos, K. Kritikakos, N. Kaliorakis, S. Fassois, J. Sakellariou, A. Deloukas, G. Leoutsakos, Christos Giannakis, Elias Chronopoulos, Elias Tountas, Dimosthenis Kapiris

{"title":"The MAIANDROS System for Random-Vibration-Based On-Board Railway Vehicle and Track Monitoring","authors":"G. Vlachospyros, Ilias Iliopoulos, K. Kritikakos, N. Kaliorakis, S. Fassois, J. Sakellariou, A. Deloukas, G. Leoutsakos, Christos Giannakis, Elias Chronopoulos, Elias Tountas, Dimosthenis Kapiris","doi":"10.1115/detc2021-70166","DOIUrl":"https://doi.org/10.1115/detc2021-70166","url":null,"abstract":"\u0000 A bird’s–eye overview of the innovative, on–board and Multi–Purpose, random vibration based MAIANDROS Condition Monitoring system for railway vehicles and infrastructure is presented. The system includes Modules for Suspension Monitoring (SM), Wheel Monitoring (WM), Track Monitoring (TM) for track segment condition characterization, Lateral Stability Monitoring (LSM), and Remaining Useful Life Estimation (RULE) for critical components such as wheels. It is based on Statistical Time Series type methods and proper decision making, and aims at overcoming various challenges of current systems while pushing their performance limits. Its unique advantages include high diagnostic performance, ability to detect early–stage (incipient) faults, robustness to varying Operating Conditions, early detection of the onset of hunting, operation with a minimal number of low–cost sensors, and minimal computational complexity for achieving real–time or almost real–time operation. Its high achievable performance is demonstrated via indicative assessments using a prototype system onboard an Athens Metro vehicle and Monte Carlo simulations with a SIMPACK based high–fidelity vehicle model.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133803253","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}

引用次数: 2

Minimizing the Cost of Automotive Accidents by Optimizing the Design of Advanced Driver Assist Systems: An Empirical Study Based on a Full-Size Light-Duty Pickup Truck 通过优化先进驾驶辅助系统设计使汽车事故成本最小化:基于全尺寸轻型皮卡的实证研究

Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT) Pub Date : 2021-08-17 DOI: 10.1115/detc2021-70641

F. Fish, B. Bras

{"title":"Minimizing the Cost of Automotive Accidents by Optimizing the Design of Advanced Driver Assist Systems: An Empirical Study Based on a Full-Size Light-Duty Pickup Truck","authors":"F. Fish, B. Bras","doi":"10.1115/detc2021-70641","DOIUrl":"https://doi.org/10.1115/detc2021-70641","url":null,"abstract":"\u0000 Advanced Driver Assistance Systems (ADAS) have become increasingly common in vehicles in the last decade. The majority of studies has focused on smaller vehicles with gross vehicle weight rating (GVWR) under 5,000lbs, predominantly sedans, for their ADAS evaluations. While it is sensible to use this style of vehicle because it is ubiquitous worldwide for a typical vehicle body style, these studies neglect full-size light-duty pickup trucks (FSLDPTs), GVWR 5,000 – 10,000lbs, which are abundant on the roads in the United States, 18% of vehicles. The increase in mass, higher center of gravity, and utilitarianism of the vehicles allows for unique conditions for studying the effects of ADAS. This work determines the best and worst location to be hit in a full-size light-duty pickup truck based on data for the industry sales leader in this class of vehicles. The objective is to use these results for future designs of ADAS technologies and their placement on the FSLDPT. While these methods could be applied to any vehicle, the FSLDPT sales leader will be investigated as it represents about 9% of registered vehicles in the United States. The results will be optimized with respect to cost in terms of initial up-front purchasing cost and post-accident vehicle repair cost.","PeriodicalId":194875,"journal":{"name":"Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457015","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}

引用次数: 0