Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
- Physical models concerning tire–road and vehicle–ground interaction: In particular, [1] refers to new developments in airless (or non-pneumatic) tires, representing a significant perspective in the future evolution of such components. Regarding tires, [2] proposes strategies to optimize tread wear and minimize the dispersion of rubber particles, properly acting on wheel and suspension setup. Moreover, [3,4] focus on materials characterization and local contact phenomena, analyzing, respectively, innovative polynomial formulations for the reproduction of viscoelastic compounds’ behaviors and the adhesive effects of dimpled textures in contact with flat surfaces. Finally, [5] proposes artificial neural networks to identify the parameters of Pacejka’s Magic Formula tire models, widely adopted in the context of automotive simulations;
- Experimental activities aimed at the investigation and the comprehension of interaction phenomena: Among the published papers, some developed an approach based on the macroscale effects, analyzing the whole vehicle data as proposed in [6], mainly centered on ride analysis on wavy profiles; In ref. [7], accounting for suspension sensitivity to road roughness, longitudinal speed, and vehicle segment; and in [8], switching to the effects on the directional capabilities. Some other authors worked on the microscale, accounting for indentation, friction, and contact mechanics at the ground, as investigated in [9], relating to gravel surfaces and noise, and in [4], focusing also on aspects related to adhesive local contact phenomena;
- Control strategies focused on vehicle performance enhancement, in terms of handling/grip, comfort, and safety: In ref. [10], a safety control strategy is proposed, acting on the steering system and differential, useful for performing emergency maneuvers for obstacle avoidance; In ref. [11], a central predictive control system is proposed, acting on a non-linear, model-based predictive algorithm; and in [12], the onboard implementation of friction estimation, in autonomous driving and vehicle following applications, is illustrated. The authors of one of the submitted papers also focused on traffic contexts, in particular reporting a case study involving Duisburg Ring environment [13];
- Identification of vehicle and tire/wheel model parameters and state with innovative methodologies and algorithms, based on machine learning techniques, as described in [5];
- Implementation of real-time software, logics, and models in onboard architectures [13] with a main target involving applications oriented towards autonomous driving and connected mobility scenarios;
- Studies and analyses oriented toward the correlation among the factors affecting vehicle consumptions, such as in powertrain architectures in electric mobility described in [16], or performance and stability, with the target to propose strategies for the minimization of undesired phenomena, as proposed by the authors of the article [2], who focused on tire tread wear;
- Application use cases in scenarios not only concerning car and conventional four-wheeled vehicles or common asphalt roads. The published papers represent advances in vehicle dynamics also involving off-road vehicles, as analyzed in [9], heavy articulated vehicles [15], or motorcycles, for which [17] proposed a study on their stability, developing an innovative approach based on the so-called screw axis instead of the usual phase plane.
Author Contributions
Funding
Institutional Review Board Statement
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Conflicts of Interest
References
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Farroni, F.; Genovese, A.; Sakhnevych, A. Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact. Appl. Sci. 2022, 12, 2034. https://doi.org/10.3390/app12042034
Farroni F, Genovese A, Sakhnevych A. Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact. Applied Sciences. 2022; 12(4):2034. https://doi.org/10.3390/app12042034
Chicago/Turabian StyleFarroni, Flavio, Andrea Genovese, and Aleksandr Sakhnevych. 2022. "Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact" Applied Sciences 12, no. 4: 2034. https://doi.org/10.3390/app12042034
APA StyleFarroni, F., Genovese, A., & Sakhnevych, A. (2022). Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact. Applied Sciences, 12(4), 2034. https://doi.org/10.3390/app12042034