Previous work has shown that consumption of electric buses is poorly documented and known [1]. The main parameters impacting energy consumption are driving cycle (speeds, stops, acceleration), bus length and passenger load, temperature and heating/cooling. Measurements in the Netherlands suggest that climate could increase consumption by more than 20%. This paper proposes a modelling of energy consumption of electric buses in function of temperature. This is done thanks to statistical and machine learning algorithms applied to a large data set conducted at STIB/MIVB, the public bus operator in Brussels (Belgium). Data were collected at 5s interval over one year on a full electric route operated by electric midi busses (8.9 meters). Finally, the results are compared and validated with data coming from the literature.

P6-08 Influence of temperature on consumption of electric buses. Analysis of the case of midi buses in Brussels

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