Research Article

THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS

Volume: 18 Number: 4 October 31, 2017
EN

THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS

Abstract

Road vehicles using electric power sources have become increasingly popular in the last decade. Meanwhile, battery technology is still not mature enough to meet expected vehicle range; thus the transition from ICE vehicle to fully electric vehicle is not imminent. Therefore the concept of hybrid drivetrain technology was introduced. The hybrid powertrain configuration includes at least two different energy converters together with an energy storage medium. In this article, different gear shifting algorithms were introduced to increase ICE efficiency in conventional vehicle. Besides, a parallel hybrid configuration was also introduced to enhance drivetrain efficiency. The Equivalent Energy Minimization Method (ECMS) and Dynamic Programming (DP) algorithms were selected as online and offline implementable optimal control methods for hybrid power sharing management. Totally six different case studies were planned to compare the efficiency of each configuration. Finally, the effect of the gear ratio selection and power split algorithms were compared on conventional and parallel hybrid drivetrains regarding overall efficiency.

Keywords

Parallel hybrid vehicle,optimal gear shifting,consumed energy minimization

References

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APA
Amini, A., Başlamışlı, S. Ç., İnce, B., & Koçak, M. (2017). THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18(4), 804-818. https://doi.org/10.18038/aubtda.340367
AMA
1.Amini A, Başlamışlı SÇ, İnce B, Koçak M. THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS. AUJST-A. 2017;18(4):804-818. doi:10.18038/aubtda.340367
Chicago
Amini, Ali, S. Çağlar Başlamışlı, Bayramcan İnce, and Mertcan Koçak. 2017. “THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18 (4): 804-18. https://doi.org/10.18038/aubtda.340367.
EndNote
Amini A, Başlamışlı SÇ, İnce B, Koçak M (October 1, 2017) THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18 4 804–818.
IEEE
[1]A. Amini, S. Ç. Başlamışlı, B. İnce, and M. Koçak, “THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS”, AUJST-A, vol. 18, no. 4, pp. 804–818, Oct. 2017, doi: 10.18038/aubtda.340367.
ISNAD
Amini, Ali - Başlamışlı, S. Çağlar - İnce, Bayramcan - Koçak, Mertcan. “THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18/4 (October 1, 2017): 804-818. https://doi.org/10.18038/aubtda.340367.
JAMA
1.Amini A, Başlamışlı SÇ, İnce B, Koçak M. THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS. AUJST-A. 2017;18:804–818.
MLA
Amini, Ali, et al. “THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 18, no. 4, Oct. 2017, pp. 804-18, doi:10.18038/aubtda.340367.
Vancouver
1.Ali Amini, S. Çağlar Başlamışlı, Bayramcan İnce, Mertcan Koçak. THE EFFECT OF DIFFERENT GEAR RATIO SELECTION ALGORITHMS ON THE EFFICIENCY OF CONVENTIONAL AND PARALLEL HYBRID DRIVETRAINS. AUJST-A. 2017 Oct. 1;18(4):804-18. doi:10.18038/aubtda.340367