Research Article

Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars

Volume: 6 Number: 3 September 30, 2019
EN TR

Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars

Abstract

In this study, the effect of rolling resistance change on regenerative braking was examined in an all-electric passenger car according to UDDS (Urban Dynamometer Driving Schedule) drive cycle. As the tires with high rolling resistance absorb the kinetic energy of the vehicle more than tires with low rolling resistance, regenerative braking gain is reduced. In the all-electric car model created using the ADVISOR vehicle simulation program state of charge (SOC) was found to be 87.1% in the car with low rolling resistance tires and SOC was 85.6% in the car with high rolling resistance for 1 drive cycle. In addition, regeneration recovery was also investigated due to road slope. As the road slope increased, the amount of recovery was reduced for both tires. While a recovery of 735.01 kJ was achieved in a tire with low rolling resistance, in a tire with high rolling resistance a recovery of 670.85 kJ was achieved at a 5% road slope.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

September 30, 2019

Submission Date

August 7, 2019

Acceptance Date

September 24, 2019

Published in Issue

Year 2019 Volume: 6 Number: 3

APA
Kunt, M. A. (2019). Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars. El-Cezeri, 6(3), 847-855. https://doi.org/10.31202/ecjse.603421
AMA
1.Kunt MA. Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars. El-Cezeri Journal of Science and Engineering. 2019;6(3):847-855. doi:10.31202/ecjse.603421
Chicago
Kunt, Mehmet Akif. 2019. “Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars”. El-Cezeri 6 (3): 847-55. https://doi.org/10.31202/ecjse.603421.
EndNote
Kunt MA (September 1, 2019) Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars. El-Cezeri 6 3 847–855.
IEEE
[1]M. A. Kunt, “Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars”, El-Cezeri Journal of Science and Engineering, vol. 6, no. 3, pp. 847–855, Sept. 2019, doi: 10.31202/ecjse.603421.
ISNAD
Kunt, Mehmet Akif. “Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars”. El-Cezeri 6/3 (September 1, 2019): 847-855. https://doi.org/10.31202/ecjse.603421.
JAMA
1.Kunt MA. Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars. El-Cezeri Journal of Science and Engineering. 2019;6:847–855.
MLA
Kunt, Mehmet Akif. “Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars”. El-Cezeri, vol. 6, no. 3, Sept. 2019, pp. 847-55, doi:10.31202/ecjse.603421.
Vancouver
1.Mehmet Akif Kunt. Advisor Based Modeling of the Effect of Rolling Resistance on Regenerative Braking in All-Electric Passenger Cars. El-Cezeri Journal of Science and Engineering. 2019 Sep. 1;6(3):847-55. doi:10.31202/ecjse.603421

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