Naslov
Dynamic programming versus Linear Programming Application for Charging Optimization of EV Fleet Represented by Aggregate Battery

Autori
Škugor, Branimir ; Deur, Joško

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
WCX™18: SAE WORLD CONGRESS EXPERIENCE

Mjesto i datum
Detroit (MI), Sjedinjene Američke Države, 10.04.2018. - 12.04.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
electric vehicle ; fleet ; charging ; optimization ; aggregate battery ; linear programming ; dynamic programming

Sažetak
This paper deals with a thorough analysis of using two fundamentally different algorithms for optimization of electric vehicle (EV) fleet charging. The first one is linear programming (LP) algorithm which is particularly suitable for solving linear optimization problems, and the second one is dynamic programming (DP) which can guarantee the global optimality of a solution for a general nonlinear optimization problem with non-convex constraints. Functionality of the considered algorithms is demonstrated through a case study related to a delivery EV fleet, which is modelled through the aggregate battery modeling approach, and for which realistic driving data are available. The algorithms are compared in terms of execution time and charging cost achieved, thus potentially revealing more appropriate algorithm for real-time charging applications.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

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