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It is especially significant in the context of electric drives in vehicles becoming widespread. The issue of energy saving in road transport is getting more and more important. In the following years, the experience gathered by the team gave us the vice Championship in the SEM 2016 in London. In the race conditions, the model was verified during SEM races in Rotterdam where the race vehicle scored the result consistent with the results of simulation calculations.
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The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. The model itself was tested on the research tracks to tune the model and determine the calculation parameters. For the purpose of identifying design and functional features of individual subassemblies and components, numerical and stand tests were carried out. The vehicle model itself includes vehicle dynamic model, numerical model describing issues concerning resistance of rolling tire, resistance of the propulsion system, aerodynamic phenomena, model of the electric motor, and control system. The numerical model was elaborated in Simulink environment, which includes both the electric vehicle model and the environment, i.e., the race track as well as the vehicle environment and the atmospheric conditions. Model-based optimization was used to determine the driving strategy. The method was developed for the needs of an electric powered racing vehicle built for the purposes of the Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. The article presents a method for optimizing driving strategies aimed at minimizing energy consumption while driving.