Fuzzy Logic Control Design in Hybrid Energy Storage System Super-Capacitor Battery for Electric Vehicle
Corresponding Author(s) : Nurhadi Nurhadi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 4, No 1, February 2019
Abstract
HESS is a suitable technology when applied to electric cars. One application is in SUV (Sport Utility Vehicle) car. The use of Supercapacitors can reduce the excess of load on the battery. Uneven soil contours cause current spike and drop in battery voltage which can reduce battery lifetime. This journal presents a simulated study of HESS batteries and Supercapacitors in SUV cars. Fuzzy-based energy management strategies and threshold control are introduced. The simulation study shows the difference between the control using the number of climb data and not, and the Fuzzy control response to the demand load. The simulation results mention the reduction of the maximum current and the battery voltage drop according to the load. The total energy ratio used between the two controls is also presented.
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- J. Shen and A. Khaligh, “A Supervisory Energy Management Control Strategy in a Battery/Ultracapacitor Hybrid Energy Storage System,” IEEE Trans. Transp. Electrif., vol. 1, no. 3, pp. 223–231, 2015.
- H. Yin, W. Zhou, M. Li, C. Ma, and C. Zhao, “An Adaptive Fuzzy Logic Based Energy Management Strategy on Battery/Ultracapacitor Hybrid Electric Vehicles,” IEEE Trans. Transp. Electrif., vol. 2, no. 3, pp. 300–311, 2016.
- O. Erdinc, B. Vural, and M. Uzunoglu, “A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system,” J. Power Sources, vol. 194, no. 1, pp. 369–380, 2009.
- Z. Chen, C. C. Mi, R. Xiong, J. Xu, and C. You, “Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming,” J. Power Sources, vol. 248, pp. 416–426, 2014.
- M. Michalczuk, B. Ufnalski, and L. M. Grzesiak, “Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car,” 2016 18th Eur. Conf. Power Electron. Appl. (EPE’16 ECCE Eur)., pp. 1–10, 2016.
- F. Liu, J. Liu, B. Zhang, H. Zhang, and S. U. Hasan, “Energy management of hybrid energy storage system (HESS) based on sliding mode control,” Power Electron. Motion Control Conf. (IPEMC), 2012 7th Int., vol. 1, p. pp.406,410, 2012.
- Irfan, M., Effendy, M., Alif, N., Syafaah, L., Pakaya, I. and Faruq, A., 2017. Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller. International Journal of Power Electronics and Drive Systems (IJPEDS), 8(3), pp.1176-1183.
- Hidayati, Q., Rachman, F., & Yanti, N. (2017). Intelligent Control System of Fire-Extinguishing and Obstacle-Avoiding Hexapod Robot. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 3(1), pp. 1-10.
- M. Michalczuk, B. Ufnalski, and L. Grzesiak, “Fuzzy logic control of a hybrid battery-ultracapacitor energy storage for an urban electric vehicle,” 2013 8th Int. Conf. Exhib. Ecol. Veh. Renew. Energies, EVER 2013, pp. 1–7, 2013.
- X. Zhang and C. Mi, Vehicle Power Management, vol. 51. 2011.
- S. Onori, L. Serrao, and G. Rizzoni, Hybrid Electric Vehicles, Energy Management Strategies. 2016.
- Kusumadewi, S., 2002. Analisis Desain Sistem Fuzzy menggunakan Tool Box Matlab. Graha Ilmu,Yogyakarta.
References
J. Shen and A. Khaligh, “A Supervisory Energy Management Control Strategy in a Battery/Ultracapacitor Hybrid Energy Storage System,” IEEE Trans. Transp. Electrif., vol. 1, no. 3, pp. 223–231, 2015.
H. Yin, W. Zhou, M. Li, C. Ma, and C. Zhao, “An Adaptive Fuzzy Logic Based Energy Management Strategy on Battery/Ultracapacitor Hybrid Electric Vehicles,” IEEE Trans. Transp. Electrif., vol. 2, no. 3, pp. 300–311, 2016.
O. Erdinc, B. Vural, and M. Uzunoglu, “A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system,” J. Power Sources, vol. 194, no. 1, pp. 369–380, 2009.
Z. Chen, C. C. Mi, R. Xiong, J. Xu, and C. You, “Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming,” J. Power Sources, vol. 248, pp. 416–426, 2014.
M. Michalczuk, B. Ufnalski, and L. M. Grzesiak, “Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car,” 2016 18th Eur. Conf. Power Electron. Appl. (EPE’16 ECCE Eur)., pp. 1–10, 2016.
F. Liu, J. Liu, B. Zhang, H. Zhang, and S. U. Hasan, “Energy management of hybrid energy storage system (HESS) based on sliding mode control,” Power Electron. Motion Control Conf. (IPEMC), 2012 7th Int., vol. 1, p. pp.406,410, 2012.
Irfan, M., Effendy, M., Alif, N., Syafaah, L., Pakaya, I. and Faruq, A., 2017. Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller. International Journal of Power Electronics and Drive Systems (IJPEDS), 8(3), pp.1176-1183.
Hidayati, Q., Rachman, F., & Yanti, N. (2017). Intelligent Control System of Fire-Extinguishing and Obstacle-Avoiding Hexapod Robot. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 3(1), pp. 1-10.
M. Michalczuk, B. Ufnalski, and L. Grzesiak, “Fuzzy logic control of a hybrid battery-ultracapacitor energy storage for an urban electric vehicle,” 2013 8th Int. Conf. Exhib. Ecol. Veh. Renew. Energies, EVER 2013, pp. 1–7, 2013.
X. Zhang and C. Mi, Vehicle Power Management, vol. 51. 2011.
S. Onori, L. Serrao, and G. Rizzoni, Hybrid Electric Vehicles, Energy Management Strategies. 2016.
Kusumadewi, S., 2002. Analisis Desain Sistem Fuzzy menggunakan Tool Box Matlab. Graha Ilmu,Yogyakarta.