The programmable steering machine for the electric lightweight vehicle
Keywords:road safety, steering machine, electric vehicles, renewable energy, road transport
In this paper a programmable steering machine (PSM) and the lightweight electric powered vehicle, designed and made at the Kazimierz Pulaski University of Technology and Humanities in Radom (UTH Radom) have been presented. Both these technical objects are the result of the project carried out by the Student Research Group ?Turbodoładowani?. The steering machine has been developed with the programmable algorithms allowing to execute a controllable movement of the vehicle steering wheel. After execution, the system does not need an interaction with the driver. For this reason, a higher repetition of the vehicle traction measurements can be achieved. Such confirmation obtained in tests within which the time waveforms of rotation angle of the steering wheel by a set value of 45, 90, 180 and 360 degrees was recorded. In particular, the accuracy index for mentioned test conditions was calculated. Obtained results, expressed by the average value of the sensitivity index were lower than 2% within the tests carried out for ?45 degree maneuvers. In case of other tests i.e., for ?90, ?180 and ?360 degree maneuvers the accuracy index value was lower than 0.3%. In this way, it was confirmed that the tested PSM reached the appropriate operating parameters necessary for vehicle traction tests.
Beroun S., Martins J. (2001). The Development of Gas (CNG. LPG and H2) Engines for Buses and Trucks and their Emission and Cycle Variability Characteristics. SAE Technical paper 2001-01-0144. https://doi.org/10.4271/2001-01-0144.
Choromański E., Grabarek I., Kozłowski M. (2019). Research on an innovative multifunction steering wheel for individuals with reduced mobility. Transportation Research Part F: Traffic Psychology and Behaviour, 61, 178-187. https://doi.org/10.1016/j.trf.2018.01.013.
Gidlewski M., Jemioł L., Żardecki D. (2022). Simulation tests of the integrated lane change control system. IOP Conf. Series: Materials Science and Engineering, 1247, 012030. https://doi.org/10.1088/1757-899X/1247/1/012030.
Górski K., Smigins R., Matijošius J., Rimkus A., Longwic R. (2022). Physicochemical Properties of Diethyl Ether-Sunflower Oil Blends and Their Impact on Diesel Engine Emissions. Energies, 15, 4133. https://doi.org/10.3390/en15114133.
Heitzman. E., Hietzman. E. (1997). A Programmable Steering Machine for Vehicle Handling Tests" SAE Technical Paper 971057. https://doi.org/10.4271/971057
Hwang K., Park J., Kim H., Kuc T.-Y., Lim S. (2021). Development of a Simple Robotic Driver System (SimRoDS) to Test Fuel Economy of Hybrid Electric and Plug-In Hybrid Electric Vehicles Using Fuzzy-PI Control. Electronics, 10, 1444. https://doi.org/10.3390/electronics10121444.
Kruczyński S., Ślęzak M., Gis W., Orliński P. (2016). Evaluation of the impact of combustion hydrogen addition on operating properties of self-ignition engine. Eksploatacja i Niezawodnosc - Maintenance and Reliability, 18(3), 343-347. http://dx.doi.org/10.17531/ein.2016.3.4.
Kryshtopa S., Górski K., Longwic R., Smigins R., Kryshtopa L. (2021). Increasing Parameters of Diesel Engines by Their Transformation for Methanol Conversion Products. Energies, 14, 1710. https://doi.org/10.3390/en14061710.
Kupicz W. (2012). Robot sterujący SR60 jako narzędzie weryfikacji modeli symulacyjnych kierowalności pojazdów. Postępy Nauki i Techniki, 14, 123-134.
Longwic R., Sander P., Zdziennicka A., Szymczyk K., Jańczuk B. (2020). Combustion Process of Canola Oil and n-Hexane Mixtures in Dynamic Diesel Engine Operating Conditions. Applied Sciences, 10(1), 80. https://doi.org/10.3390/app10010080.
McGlynn S., Walters D. (2019). Agricultural Robots: Future Trends for Autonomous Farming. Int. J. Emerg. Technol. Innov., 6, 944-949.
SAE International Releases Updated Visual Chart for Its "Levels of Driving Automation" Standard for Self Driving Vehicles. Available online: www.sae.org/news/press-room/2018/12/sae-international-releases-updated-visual-chart-for-its-%E2%80%9Clevels-of-driving-automation%E2%80%9D-standard-for-self-driving-vehicles
Syed Ameer Basha. K., Raja Gopal. S. Jebaraj. (2009). A review on biodiesel production, combustion. emissions and performance. Renewable and Sustainable Energy Reviews., 13(6-7). https://doi.org/10.1016/j.rser.2008.09.031.
Thiel W., Gröf S., Hohenberg G., Lenzen B. (1998). Investigations on Robot Drivers for Vehicle Exhaust Emission Measurements in Comparison to the Driving Strategies of Human Drivers. In Proceedings of the International Fall Fuels and Lubricants Meeting and Exposition. San Francisco. CA. USA. 19 October; SAE International: Warrendale. PA. USA. 1998. https://doi.org/10.4271/982642.
Valeika G., Matijošius J., Górski K., Rimkus A., Smigins R. (2021). A Study of Energy and Environmental Parameters of a Diesel Engine Running on Hydrogenated Vegetable Oil (HVO) with Addition of Biobutanol and Castor Oil. Energies, 14, 3939. https://doi.org/10.3390/en14133939.
Verhelst S., Wallner T. (2001). Hydrogen-fueled internal combustion engines. Progress in Energy and Combustion Science, 35(6), 490-527. https://doi.org/10.1016/j.pecs.2009.08.001.
Wolfgang Thiel, Stefan Gröf, Günter Hohenberg, Bernd Lenzen (1998). Investigations on Robot Drivers for Vehicle Exhaust Emission Measurements in Comparison to the Driving Strategies of Human Drivers. SAE technical paper no. 982642. https://doi.org/10.4271/982642.
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