A Machine Learning Method for Predicting Driving Range of Battery Electric Vehicles

Table 3

Correlation test result between parameters and driving range.

	No. 25 BEV		No. 15 BEV		No. 12 BEV
	R	Sig.	R	Sig.	R	Sig.
SOC	-0.998	.000	-0.999	.000	-0.998	.000
Speed	0.029	.775	-0.172	.089	0.021	.791
VTotal	-0.946	.000	-0.826	.000	-0.861	.000
ITotal	0.145	.149	-0.241	.153	0.137	.159
MaxV	-0.827	.000	-0.789	.000	-0.830	.000
MinV	-0.850	.000	-0.808	.000	-0.858	.000
MaxT	0.816	.000	0.970	.000	0.826	.000
MinT	0.889	.000	0.963	.000	0.899	.000
EVD	0.063	.534	0.092	.377	0.081	.517
ETD	-0.163	.104	-0.159	.115	-0.173	.109

R represents Pearson’s simple correlation coefficient between parameters and the distance range; Sig. represents the probability value of test statistics, and .