… model will be employed to develop the prediction model of … However, it should be pointed
out that if the real-world driving cycle … energy consumption and the battery energy consumption …

… In real-world scenarios, electric vehicle data are likely to be biased based on factors such …
In terms of developing energy consumption prediction models, the proposed framework also …

… data to develop a case study for predicting the capacity fade of the battery of electric vehicles.
… of driver habits and electric energy consumption have all been disregarded in the analysis. …

… the fuel consumption of vehicles in real-world conditions through its registered … model was
developed. To better understand the developed model and the predictors, SHAP was used to …

… and health management of the batteries in real-world EV applications are presented from …
difficulties in accurate predicting the evolution of nonlinear multiphysics battery systems [7]. …

… (NL) are proposed in this study based on meter-level real-world … an evaluation of BEVs
energy consumption demonstrating that … The results show that the model developed in this paper …

… of the model for energy consumption prediction. To do this, it … Tang, “Electric vehicle?s electricity
consumption on a road … level electric vehicle energy consumption under real-world traffic …

… savings can be harvested in the uncongested real-world highway scenario [8]. … , this research
applies machine learning to develop a new instantaneous energy consumption estimation …

… as battery electric vehicles (BEVs), fuel-cells electric vehicles (FCEVs) and hybrid electric
vehicles (… In order to obtain a dual nature prediction, a two-DNN pipeline has been developed. …

… model and its flexibility, we perform a case study to predict … • we developed an accurate,
adaptable and computationally … This obviously lacks in accuracy for any real-world driving pattern…