Article ID Journal Published Year Pages File Type
1731689 Energy 2015 12 Pages PDF
Abstract

•A novel aggregate battery model is proposed for an electric vehicle (EV) fleet.•Dynamic programming is used for model-based EV fleet charging optimisation.•An empirical algorithm distributes the optimised charging power to individual EVs.•Validation results point to a favourable accuracy of the proposed model.

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.

Related Topics
Physical Sciences and Engineering Energy Energy (General)
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