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Application of Fuzzy Logic Algorithm for Hybrid Car Usage Time

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ronny Katuuk, Marson James Budiman, Donald B. Noya
10.5120/ijca2018917918

Ronny Katuuk, Marson James Budiman and Donald B Noya. Application of Fuzzy Logic Algorithm for Hybrid Car Usage Time. International Journal of Computer Applications 181(21):1-4, October 2018. BibTeX

@article{10.5120/ijca2018917918,
	author = {Ronny Katuuk and Marson James Budiman and Donald B. Noya},
	title = {Application of Fuzzy Logic Algorithm for Hybrid Car Usage Time},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2018},
	volume = {181},
	number = {21},
	month = {Oct},
	year = {2018},
	issn = {0975-8887},
	pages = {1-4},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number21/30006-2018917918},
	doi = {10.5120/ijca2018917918},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Electricity generating systems in motorized vehicles use motor rotation with gasoline or diesel fuel to supply voltage to electronic devices and batteries as a backup power source.A good battery performance, will support the device that is supported while the amount of energy that can be stored by the battery is limited, the battery will experience a charge and discharge cycle. Therefore, there must be continuous battery charging needed so that the battery erformance can reach the maximum.One solution to developing the hybrid method in charging batteries is to utilize two sources of electricity, namely charging from the vehicle engine and wind power plants that are obtained when the vehicle is running. The method used is the fuzzy logic method by assessing the input and output system from the observations. In this research will be carried out the design of hybrid power plants for the use of load with time simulation to supply the load in order to obtain accurate battery usage time modeling so as to make the battery not quickly damaged. The results of the hybrid generator design on four-wheeled motor vehicles can maintain the source of electricity in the battery and use fuel efficiently.

References

  1. I K Mujawar, B T Jadhav and Kapil Patil. Web-based Fuzzy Expert System for Symptomatic Risk Assessment of Diabetes Mellitus. International Journal of Computer Applications 182(3):5-12, July 2018
  2. L.Doitsidis,K.P. Valavanis, N.c. Tsourveloudis, (2002). Fuzzy Logic Based Autonomonous Skid Steering Vehicle Navigation. Proceeding of the 2002 IEEE International Conference on Robotics & Automation Washington, DC May 2002
  3. Ionescu F., Haszier F., 2000. “Comparison between classical and fuzzy-controller for electrohydraulic axes”, International Symposium on Neuro-Fuzzy Systems, pp.155-160.
  4. Puneet Kumar, Nikhil Jindal, Akhil Jindal and Sidharth Chhabra. (2010). A Robust Algorithm for Local Obstacle Avoidance. International Journal of Computer Theory and Engineering.June, 2010
  5. Sourav Dutta. (2010). Obstacle Avoidance of mobile robot using PSO based Neuro Fuzzy Technique. International Journal on Computer Science and Engineering
  6. John Kwesi Amfo and James Ben Hayfron-Acquah. Modeling of Hybrid Intrusion Detection System in Internet of Things using Support Vector Machine and Decision Tree. International Journal of Computer Applications 181(15):45-52, September 2018.
  7. Nour M.I.H, Ooi J. and Chan K.Y., 2007. “Fuzzy logic control vs. conventional PID control of an inverted pendulum robot”,Proceedings of 2007 ICIAS International Conference on Intelligent and Advanced Systems,
  8. Ahmed Nasser B Alsammak. Fuzzy Logic based Power Factor Control of Synchronous Machine. International Journal of Computer Applications 182(14):33-42, September 2018.
  9. Preeti Saroj and Sanjay Kumar. A Novel Power Efficient Clustering Technique with a Fault Tolerance Mechanism based on Type -2 Fuzzy Logic, in a Multi-hop WSN. International Journal of Computer Applications 181(5):5-9, July 2018.
  10. Surapati Pramanik, Indrani Maiti and Tarni Mandal. A Taylor Series based Fuzzy Mathematical Approach for Multi Objective Linear Fractional Programming Problem with Fuzzy Parameters. International Journal of Computer Applications 180(45):22-29, May 2018.
  11. Ahmed N. B. Al-Sammak, “A Fuzzy Logic Control of Synchronous Motor for Reactive Power Compensation”, PhD thesis, University of Mosul, 2017.
  12. Sang-hyeok Lim and Tae-ho Cho. Automatic Threshold Reset Scheme using a Double Fuzzy System for Improvement of Detection Rate in a Probabilistic Voting-based Filtering Scheme of WSNs. International Journal of Computer Applications 176(1):38-43, October 2017.
  13. Syed Wajahat A Rizvi, Raees Ahmad Khan and Vivek Kumar Singh. Early Stage Software Reliability Modeling using Requirements and Object-Oriented Design Metrics: Fuzzy Logic Perspective. International Journal of Computer Applications 162(2):44-59, March 2017.
  14. Jaiswal, G.P. and Giri, R. N. 2015. A Fuzzy Inference Model for Reliability Estimation of Component Based Software System. International Journal of Computer Science and Technology, 3(3), 177-182.
  15. Rizvi, S.W.A., Singh, V. K., and Khan, R. A. 2016. Fuzzy Logic based Software Reliability Quantification Framework: Early Stage Perspective (FLSRQF), Elsevier Procedia-Computer Science, 89, 359-368.
  16. Yadav, O.P., Singh, N., Chinnam, R.B. and Goel, P.S. 2003. A fuzzy logic based approach to reliability improvement during product development. Reliability Engineering and System Safety, 80(1), 63–74.
  17. Zadeh, L.A. 1989. Knowledge representation in fuzzy logic. IEEE Transactions on Knowledge and Data Engineering, 1(1), 89–100.

Keywords

Battery, hybrid power plant, discharging