Open Access Open Access  Restricted Access Subscription Access

Drive Cycle Database Method for Performance of Vehicles Depending on Driver Behavior, Vehicle Type and Traffic Condition

Sparsh H. Shah, Vipul R. Salvi, Abhishek D. Shinde, Omkar R. Pandirkar, Sagar S. Khatavkar

Abstract


Automobile manufacturers are looking for cheap ways to evaluate their products for specific customer needs as more demands are placed on their performance. The drive cycle is a crucial component of the vehicle development process. The driving cycle is used to understand the driving patterns of vehicles which also shows vehicle speed and road conditions by collecting data points along the way. A Global Positioning System (GPS)-based system was used to collect drive cycle data. For analysis of drive cycle data, we designed a powertrain simulation, the results of which can be used for various purposes. The most important output was precise battery consumption data. The simulation was performed on different possible conditions. We developed a method for measuring and analyzing realtime Indian road drive cycles which can be used on urban roads, state highways, national highways, and express highways, where vehicles have their most run. It is important to remember that each country has its own driving cycle because road conditions differ from one another.


Keywords


Drive cycle, driving patterns, traffic density, GPS based system and powertrain simulations

Full Text:

PDF

References


Kurt Kruppok, Tobias Walter, et al. Improving range prediction of battery electric vehicles by periodical calculation of driver parameters based on real driving data. VEHITS 2018. 4th International Conference on Vehicle Technology and Intelligent Transport Systems. 2018.

Junji Yano, Shigeki Nishimura, et al. Estimation of EV power consumption and route planning using probe data. SEI Technical Review. 2014;78:29–34.

Wikipedia. (2022). Driving cycle. [Online]. Available from https://en.wikipedia.org/wiki/Driving_cycle

Federico Millo, Luciano Rolando, Maurizio Andreata. Numerical Simulation for Vehicle Powertrain Development. Intech Open; 2010.

Cheng Lin, Li Zhao, et al. A DCT-Based Driving Cycle Generation Method and Its Application for Electric Vehicles. Math Probl Eng. 2015; Article ID 178902: 1–13.

Car Engineer. The different driving cycles. [Online]. Available from https://www.car-engineer.com/the-different-driving-cycles/

John Thomas. Drive Cycle Powertrain Efficiencies and Trends Derived from EPA Vehicle Dynamometer Results. SAE Int J Passeng Cars - Mech Syst. 2014; 7(4): 1374–1384.




DOI: https://doi.org/10.37591/rrjoesa.v10i1.911

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Research & Reviews: A Journal of Embedded System & Applications