Abstract
Currently, the development of spark ignition engine technology leads to energy-efficient and low-emission vehicle policies, which is indicated by programs, such as the Low Cost Green Car (LCGC) program, Electric Vehicle (EV), Hybrid Vehicle (HV), and vehicles with alternative fuels. The direction of these policies is due to the declining availability of fossil energy and the issue of global climate change. Furthermore, various efforts have been taken to resolve this problem. To realize energy-efficient vehicles, the development of spark ignition engine currently leads to the achievement of AFR stoichiometry (14.67). This allows the vehicle to operate with optimal power and good fuel economy. However, further improvement can be made by carefully analyzing the power requirements and fuel control. Therefore, this study offers a new method to improve fuel economy based on driver behavior aspects, which was applied by integrating steering operations (the driver’s behavior while operating the steering) and fuel control. The steering operation was designed with 3 clusters, namely the low, medium, and high. Similarly, vehicle speed was designed with 3 clusters, namely low, medium, and high., The fuel mode was designed based on the input steering operation, vehicle speed, and fuzzy logic. The simulation results were in the form of fuel modes, such as economizer and stoichiometry. The economizer regulates the AFR fuel in the lean mixture (15.4), while the stoichiometry adjusts the AFR at the ideal mixture (14.67), respectively. Therefore, the fuel economy was realized when the steering operation and vehicle speed were both in the low cluster. Based on the simulation, it was concluded that the technology application designed, has a very high potential of being applied in real vehicles to assist in realizing energy-efficient vehicles.
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Acknowledgment
The author expresses gratitude to the Robotics Laboratory of Mechanical Engineering, Diponegoro University, Semarang and PRVI, the Muhammadiyah University of Magelang for assisting this study.
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Munahar, S., M. Munadi, Triwiyatno, A., Setiawan, J.D. (2023). Fuzzy Logic Control System For Fuel-Saving Using Steering Behavior. In: Akhyar, Huzni, S., Iqbal, M. (eds) Proceedings of the 3rd International Conference on Experimental and Computational Mechanics in Engineering. ICECME 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3629-6_7
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