the prediction of electric vehicle ownership in china · table 2. year 2015 2016 2017 2018 2019...

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Dr.-Ing. Alexandra Pehlken, [email protected], www.uni-oldenburg.de/cascadeuse/ © Alexandra Pehlken THE PREDICTION OF ELECTRIC VEHICLE OWNERSHIP IN CHINA Gompertz model Use Gompertz model to predict the number of electric vehicle ownership: Background With the promoting of national industrial policies, Chinese electric vehicle industry will develop rapidly in the future. The historical data about the number of electric vehicle ownership is shown in Table 1. Result The prediction result and tendency is shown in Table 2. It can be seen that in 2020 the number of electric vehicle will be nearly 600,000. It will also benefit the EOL electric vehicle market. C t =γ∙e α∙e β∙GDP t (1) Where: C t ——Electric vehicle per capita ownership; GDP t ——Per capita GDP; αβ——Undetermined coefficients; γ——Saturation level parameter,γ = 0.315. The conversion equation is ln lnγ − lnC t = ln −α + β ∙ GDP t (2) For Y=ln lnγ − lnC t , m = ln −α ,X = GDP t , The equation can be transferred to : . Y=m+β∙X (3) Linear regression Using Origin software (OriginLab Co.) to fit the equation and got the parameter values: m = 2.91295β = −1.19101 × 10 −5 Jin Tian, M.Sc. Oldenburg University/ Shanghai Jiao Tong University [email protected]

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Page 1: THE PREDICTION OF ELECTRIC VEHICLE OWNERSHIP IN CHINA · Table 2. Year 2015 2016 2017 2018 2019 2020 Prediction number in future Electric vehicle ownership 110,638 153,014 213,158

Dr.-Ing. Alexandra Pehlken, [email protected], www.uni-oldenburg.de/cascadeuse/

© Alexandra Pehlken

THE PREDICTION OF ELECTRIC VEHICLE OWNERSHIP IN CHINA

Gompertz model

Use Gompertz model to predict the number ofelectric vehicle ownership:

Background

With the promoting of national industrialpolicies, Chinese electric vehicle industry willdevelop rapidly in the future. The historicaldata about the number of electric vehicleownership is shown in Table 1.

Result

The prediction result and tendency is shown inTable 2. It can be seen that in 2020 thenumber of electric vehicle will be nearly600,000. It will also benefit the EOL electricvehicle market.

Ct = γ ∙ eα∙eβ∙GDPt

(1)

Where:Ct——Electric vehicle per capita ownership;GDPt——Per capita GDP;α、β——Undetermined coefficients;γ——Saturation level parameter,γ = 0.315.

The conversion equation is:

l n lnγ − lnCt = ln −α + β ∙ GDPt (2)

For Y = l n lnγ − lnCt , m = ln −α ,X = GDPt,The equation can be transferred to :

.Y = m+ β ∙ X (3)

Linear regression

Using Origin software (OriginLab Co.) to fit theequation and got the parameter values:

m = 2.91295,β = −1.19101 × 10−5

Jin Tian, M.Sc.Oldenburg University/Shanghai Jiao Tong [email protected]