Škugor, Branimir and Deur, Joško (2015) A novel model of electric vehicle fleet aggregate battery for energy planning studies. = A novel model of electric vehicle fleet aggregate battery for energy planning studies. Energy, 92 (3). pp. 444-455. ISSN 0360-5442. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2015). Točan broj autora: 2.
Full text not available from this repository.Abstract
The paper proposes an aggregate battery modelling approach for an electric vehicle (EV) fleet, which is aimed for energy planning studies of EV- grid integration. The proposed model improves on the existing, basic aggregate battery modelling approach by accounting for a variable structure of the aggregate battery systems, variable state of charge (SoC) constraints and specific input time-distributions such as those of average SoC at destination and number of arriving and departing vehicles. In the particular case-study presented, the input distributions are reconstructed from a large set of delivery vehicle fleet driving missions, including simulation of individual vehicle behaviours over the full set of driving cycles. The charging power input is obtained by using a dynamic programming-based optimisation algorithm aimed at finding a global optimum in terms of minimised electricity cost. For the purpose of proposed model validation and its comparison with the basic model, a distributed fleet vehicle model is developed, where a specific algorithm is proposed for distributing the optimised charging power input to charging inputs of individual vehicles.
Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
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Keywords (Croatian): | electric vehicles, fleet, aggregate battery, modelling, optimisation, energy planning |
Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
Divisions: | 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation |
Indexed in Web of Science: | Yes |
Indexed in Current Contents: | Yes |
Citations JCR: | 9 (11.09.2018.) |
Quartiles: | Q1 (2015) |
Citations SCOPUS: | 14 (11.09.2018.) |
Date Deposited: | 19 Sep 2016 14:34 |
Last Modified: | 11 Sep 2018 08:05 |
URI: | http://repozitorij.fsb.hr/id/eprint/6379 |
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