Nandi, Arup K. and Chakraborty, Debasri and Vaz, Warren (2015) Design of a comfortable optimal driving strategy for electric vehicles using multi-objective optimization. Journal of Power Sources, 283. pp. 1-18.

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Abstract

Due to the limited amount of stored battery energy available for electric vehicles, it is important to use the energy in an optimal manner. This study proposes a novel comfortable optimal driving strategy (CODS) to change a speed that presents a number of optimal acceleration(s) to the driver, along with the total acceleration duration and range corresponding to a desired driving comfort. The design of CODS is done by solving a multi-objective optimization problem (MOOP) of minimizing acceleration duration and battery energy consumption. The acceleration jerk was used as a metric to quantify driving comfort. Based on the realization that the system response time should be low without sacrificing solution optimality for online implementation, two MOOPs were solved: constraining the jerk to a maximum level and minimizing the jerk as an optimization objective. Pareto-optimal fronts were obtained and it was found that consideration of minimizing total jerk is more convenient in finding CODS. A plot of the predicted range, time, and comfort for optimal acceleration(s) to a chosen speed change was presented and a comfortable optimal driving zone was identified. The system response time was found to be around 1 s, indicating its suitability for online implementation.

Item Type:	Article
Subjects:	Optimization
Depositing User:	Dr. Sarita Ghosh
Date Deposited:	16 Aug 2016 06:37
Last Modified:	16 Aug 2016 06:37
URI:	http://cmeri.csircentral.net/id/eprint/207

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