Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review

被引:15
作者
Di Martino, Andrea [1 ]
Miraftabzadeh, Seyed Mahdi [1 ]
Longo, Michela [1 ]
机构
[1] Politecn Milan, Dept Energy, Via La Masa 34, I-20156 Milan, Italy
关键词
vehicle model; energy consumption; power-based vehicle model; microsimulation; data-driven analysis model; GREENHOUSE-GAS EMISSIONS; MODEL MODEL DEVELOPMENT; ROUTING PROBLEM; DRIVING RANGE; PREDICTION; OPTIMIZATION; HYBRID; IMPACT; PERFORMANCE; SYSTEM;
D O I
10.3390/en15218115
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The continuous technical improvements involving electric motors, battery packs, and general powertrain equipment make it strictly necessary to predict or evaluate the energy consumption of electric vehicles (EVs) with reasonable accuracy. The significant improvements in computing power in the last decades have allowed the implementation of various simulation scenarios and the development of strategies for vehicle modelling, thus estimating energy consumption with higher accuracy. This paper gives a general overview of the strategies adopted to model EVs for evaluating or predicting energy consumption. The need to develop such solutions is due to the basis of each analysis, as well as the type of results that must be produced and delivered. This last point strongly influences the whole set-up process of the analysis, from the available and collected dataset to the choice of the algorithm itself.
引用
收藏
页数:20
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