Article
Engineering, Electrical & Electronic
Ping Wang, Xiyue Zhang, Jianpeng Shi, Bin Gou, Lin Zhang, Hong Chen, Yunfeng Hu
Summary: This paper proposes an MPC-based control strategy to prevent vehicle rollover during high-speed driving. By considering tire force saturation and real-time rollover index, the control region is divided into different stability regions. State constraints are set based on driver behavior and road conditions to improve overall vehicle performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Xu Hu, Qiu Liu, Bingyi Liu, Xiaolei Li, Liang Gu
Summary: The study proposes a design framework for conducting lightweight design in the layout design stage of suspension system, demonstrates its effectiveness through a case study, and reveals a trade-off between the load carried by each component and the adjustment height performance.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Mechanical
Ying Tian, Qiangqiang Yao, Chengqiang Wang, Shengyuan Wang, Jiaqi Liu, Qun Wang
Summary: This paper proposes a force-driven switched MPC path tracking control strategy that coordinates active front-wheel steering with an external yaw moment to improve path tracking accuracy and ensure vehicle stability under handling limit conditions. According to simulation results under normal speed and limiting speed conditions, this strategy can improve control accuracy and ensure vehicle stability.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Agronomy
Seokho Kang, Yeongsu Kim, Hyunggyu Park, Yonggik Kim, Seungmin Woo, Daniel Dooyum Uyeh, Yushin Ha
Summary: This study investigates the critical overturning angle of a multi-purpose platform with attachments under different load conditions, providing scientific basis for the development of a safety system.
Article
Engineering, Electrical & Electronic
Xinwei Yang, Chaozhong Wu, Yi He, Xiao-Yun Lu, Tao Chen
Summary: This study proposes an improved dynamic rollover index (RI) that can detect real-time rollover events in heavy-duty vehicles. By designing an unknown input observer (UIO) to estimate the vehicle's roll angle and using a parameter estimation algorithm to observe unmeasurable and time-varying parameters, the proposed method shows accurate estimation of key parameters and strict rollover detection. Furthermore, a dynamic predictive rollover threshold is determined by investigating the thresholds of roll angle and lateral acceleration, ensuring sufficient response time for controller delay.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Acoustics
Omer Bingul, Ahmet Yildiz
Summary: This paper presents a multi-objective optimization approach for improving the ride comfort and health standards of a non-linear active suspension system in an electric vehicle. Realistic working conditions are considered, and the results show that significant improvements can be achieved using a controller.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Multidisciplinary
Roberto Rocca, Fabio Giulii Capponi, Giulio De Donato, Savvas Papadopoulos, Federico Caricchi, Mohamed Rashed, Michael Galea
Summary: The proposed methodology in this study introduces a new and fully analytical approach to design, progressively discarding infeasible candidates to populate the design space only with feasible solutions. This allows for verifying design feasibility, reducing the number of candidates significantly, and gaining useful insights into the design problem for selecting the most suitable strategy.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Parthib Khound, Peter Will, Frank Gronwald
Summary: In this paper, a common design methodology is formulated for deriving an adaptive cruise control algorithm to compensate for the lower level time-lag and improve stability. The inclusion of vehicle dynamics in the design reduces the performance of the adaptive cruise control system. The proposed method can be used to design new models or extend existing models. The derived design method fulfills the over-damped string stability condition, improving safety and performance.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2022)
Article
Engineering, Mechanical
Abolfazl Seifi, Reza Hassannejad
Summary: This study investigates a new suspension system with inerters and asymmetric dampers, analyzing its dynamic response and performance under variable vehicle speed, improving ride comfort and vehicle performance through optimization algorithms, and considering the influence of uncertainties on the choice of inerters.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Article
Energy & Fuels
Fuhuai Jiang, Mengyuan Dong, Yuezhen Fan, Qingchun Wang
Summary: This study proposes a real-time motor control strategy to improve the anti-rollover stability of electric vehicles, based on the acquisition of vehicle attitude data and real-time monitoring of the vehicle's operating state. The lateral load transfer rate is used as the evaluation index for vehicle rollover, and the motor speed is actively controlled to avoid or reduce the risk of rollover when the real-time rollover indicator exceeds the safety threshold.
Article
Engineering, Multidisciplinary
Ewerton Grotti, Pedro Buhrer Santana, Jose Gilberto Picoral Filho, Herbert M. Gomes
Summary: This paper presents a method for incorporating uncertainties into the multiobjective optimization process by using first and second moments approximation and Taylor expansions. The results show that the method is efficient in solving multiobjective robust optimization problems and the different levels of Taylor approximation are compared in various engineering problems.
OPTIMIZATION AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Weiming Hu, Xu Li, Jinchao Hu, Dong Kong, Yue Hu, Qimin Xu, Yan Liu, Xiang Song, Xuan Dong
Summary: Safe driving decision-making is crucial for automated commercial vehicles (ACVs). Unlike small passenger vehicles, commercial vehicles need to consider both collision prevention and rollover prevention due to their longer brake distance and worse roll stability. This article proposes a safe driving decision-making methodology based on a cascade imitation learning network (CILN), which integrates supervised and imitation learning parts. Experimental results show that the CILN outperforms other decision-making algorithms, ensuring the driving safety of ACVs in dense traffic flow.
IEEE SENSORS JOURNAL
(2023)
Article
Thermodynamics
Chi T. P. Nguyen, Bao-Huy Nguyen, Joao Pedro F. Trovao, Minh C. Ta
Summary: This paper proposes a novel methodology to develop a drivetrain system for a four-wheel-drive dual-motor off-road EV. The obtained design delivers high performance in both driving performance and energy efficiency of a desired vehicle using the two electric motors with their multi-speed gearbox.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Automation & Control Systems
Guilherme Froes Silva, Alejandro Donaire, Aaron McFadyen, Jason J. Ford
Summary: This paper introduces a control design with integral action for vehicle platoons to ensure string stability and disturbance rejection. It also provides bounds for the tracking error of the platoon configuration. Simulation results demonstrate the performance of the proposed closed-loop system.
Article
Engineering, Mechanical
Daniel Frank Hesser, Kubilay Altun, Bernd Markert
Summary: The study utilizes the dynamic response of the suspension railway system Skytrain Dusseldorf to localize the train and monitor the infrastructure. Inertial measurement units gather data on vehicle movement and unique signal features are extracted to identify turns and stops along the track. Computational intelligence learns from operational data to recognize track features.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Selim Solmaz
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2016)
Article
Automation & Control Systems
Morteza Dousti, S. Caglar Baslamisli, E. Teoman Onder, Selim Solmaz
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2015)
Article
Chemistry, Analytical
Viktor Tihanyi, Tamas Tettamanti, Mihaly Csontho, Arno Eichberger, Daniel Ficzere, Kalman Gangel, Leander B. Hormann, Maria A. Klaffenbock, Christoph Knauder, Patrick Luley, Zoltan Ferenc Magosi, Gabor Magyar, Huba Nemeth, Jakob Reckenzaun, Viktor Remeli, Andras Rovid, Matthias Ruether, Selim Solmaz, Zoltan Somogyi, Gabor Soos, David Szantay, Tamas Attila Tomaschek, Pal Varga, Zsolt Vincze, Christoph Wellershaus, Zsolt Szalay
Summary: A significant measurement campaign was conducted on a real-world motorway stretch in Hungary, resulting in vehicle and infrastructure sensor data that will be valuable for future automotive R&D activities. The campaign aimed to create an Ultra High Definition map of the test road and collect detailed data through special test scenarios and different sensors. This data set with ground truth labeling can support a wide range of solutions for testing and validating various approaches and techniques.
Article
Computer Science, Information Systems
Martin Rudigier, Georg Nestlinger, Kailin Tong, Selim Solmaz
Summary: Automated vehicles operating on public roads today are capable of achieving up to SAE Level-3 conditional autonomy, but higher levels of autonomy may require infrastructure assistance. As the penetration rates of automated vehicles increase, new challenges such as road damage are expected to arise.
Article
Chemistry, Multidisciplinary
Rihards Novickis, Aleksandrs Levinskis, Vitalijs Fescenko, Roberts Kadikis, Kaspars Ozols, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Selim Solmaz, Georg Stettinger, Akwasi Adu-Kyere, Lauri Halla-aho, Ethiopia Nigussie, Jouni Isoaho
Summary: Automated Driving Systems offer the potential to significantly reduce human-caused accidents, reduce emissions, alleviate congestion, decrease energy consumption, and increase overall productivity. However, achieving higher levels of driving automation and meeting safety integrity requirements is a multi-disciplinary challenge that requires understanding of safety-critical architectures, multi-modal perception, and real-time control.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Georg Nestlinger, Johannes Rumetshofer, Selim Solmaz
Summary: This paper addresses the problem of guiding a vehicle through unstructured environments using an external leader. The proposed trajectory-following approach estimates the leader's path and uses a spline-approximation technique to obtain a smooth reference path. A constant time-headway policy is implemented for longitudinal tracking. The algorithm is tested in a simulation framework and validated in a demonstrator vehicle under real operating conditions, using on-board sensors for data collection.
Article
Robotics
Sarah Haas, Selim Solmaz, Jakob Reckenzaun, Simon Genser
Summary: This paper presents a new dataset for automated driving that addresses a gap in existing perception datasets. The provided information in most perception datasets is often insufficient due to unknown and time-varying errors in object list and position data. This paper describes the first publicly available perception measurement data that include high-precision ground-truth position measurements and semantically classified objects. It also provides insight into the data capturing process and potential application examples in automated driving and environmental perception systems.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Selim Solmaz, Rijad Muminovic, Amar Civgin, Georg Stettinger
Summary: This work analyzes and compares RRT-based approaches for Automated Valet Parking (AVP) and low-speed autonomy, presenting results from simulation and real-life experiments. The findings suggest that RRTx and RRV are better suited for typical AVP scenarios, contributing to the validation and comparison of RRT methods for low-speed autonomy.
2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC)
(2021)
Article
Chemistry, Analytical
Simon Genser, Stefan Muckenhuber, Selim Solmaz, Jakob Reckenzaun
Summary: This paper introduces a novel approach for modeling automotive perception sensors, which combines kernel density estimation with regression modeling to address position measurement errors. The method is suitable for automotive perception sensors that provide object-level position estimations, and has shown good performance in lateral and longitudinal position error after field data collection and experimental validation.
Proceedings Paper
Automation & Control Systems
Norbert Druml, Bjoem Debaillie, Andrei Anghel, Nicolae-Catalin Ristea, Jonas Fuchs, Anand Dubey, Torsten Reisland, Maike Hartstem, Viktor Rack, Anna Ryabokon, Kaspars Ozols, Rihards Novickis, Aleksandrs Levinskis, Omar Veledar, Georg Macher, Johannes Jany-Luig, Selim Solmaz, Jakob Reckenzaun, Naveen Mohan, Shai Ophir, Georg Stettinger, Sergio Diaz, Mauricio Marcano, Jorge Villagra, Andrea Castellano, Rutger Beekelaar, Fabio Tango, Jarno Vanne, Kalle Holma, Oguz Icoglu, George Dimitrakopoulos
2020 23RD EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD 2020)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Mohamed Berrazouane, Kailin Tong, Selim Solmaz, Martijn Kiers, Jacqueline Erhart
2019 8TH IEEE INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (IIEEE CCVE)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Selim Solmaz, Georg Nestlinger, Georg Stettinger
2019 8TH IEEE INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (IIEEE CCVE)
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Durmus Uygun, Selim Solmaz, Yucel Cetinceviz
2015 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES & POWER ELECTRONICS (ACEMP), 2015 INTL CONFERENCE ON OPTIMIZATION OF ELECTRICAL & ELECTRONIC EQUIPMENT (OPTIM) & 2015 INTL SYMPOSIUM ON ADVANCED ELECTROMECHANICAL MOTION SYSTEMS (ELECTROMOTION)
(2015)
Proceedings Paper
Energy & Fuels
Durmus Uygun, Selim Solmaz
2015 IEEE 5TH INTERNATIONAL CONFERENCE ON POWER ENGINEERING, ENERGY AND ELECTRICAL DRIVES (POWERENG)
(2015)
Proceedings Paper
Energy & Fuels
Durmus Uygun, Selim Solmaz, Altug Turan, Serife Tozan Ruzgar
2015 IEEE 5TH INTERNATIONAL CONFERENCE ON POWER ENGINEERING, ENERGY AND ELECTRICAL DRIVES (POWERENG)
(2015)
