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Prediction of the “Tipping Point” to Widespread Uptake of Battery Electric Vehicles in China via Nonlinear Curve-Fitting Method

Zeyu Geng


The “Tipping Point” is a term that is widely used today to describe that a time or threshold once being surpassed would result in exponential growth in technology adoption or product sales in a specific industry. China’s BEV industry has grown tremendously in the past 10 years and recently, and China has been leading both BEV sales and manufacturing in the world. Thus, this paper aims to investigate the “Tipping Point” timeframe for Battery Electric Vehicles (BEVs) penetration in China. The major work is conducted in 3 steps. 1. This paper firstly defined the exactitude of “Tipping Point” as a 16% market penetration rate from Roger’s technology adoption model. 2. Then this paper used a simple exponential curve formula using the Levenberg–Marquardt Algorithm (LMA) calculation method to conduct nonlinear curve fitting modeling for various nations and testify the validity of our formula used. 3. Finally, after getting a positive result from these sample countries, this paper continues using this method to predict the 16% “Tipping Point” from several current predictions reports. It concludes with a calculated assumption that this 16% BEV market penetration rate would most likely occur by the end of 2024.


Tipping Point; Electric Vehicles; Nonlinear Curve Fitting; Technology Adoption Rate

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Saul B, Sherwood S, McAdam J, et al. Climate change and Australia: Warming to the global challenge. Annandale, NSW: The Federation Press; 2012.

World energy outlook. Australia: International Energy Agency; 2016.

China international energy data and analysis. USA: Energy Information Administration; 2015.

Gladwell M. The tipping point: How little things can make a big difference. Harvard Business Review 2000.

Ball P. Critical mass: How one thing leads to another? New York: Farrar, Straus, and Giroux; 2004.

Rogers EM. Diffusion of innovations. 5th ed. New York: Free Press; 2003.

Egbue O, Long S, Samaranayake VA. Mass deployment of sustainable transportation: Evaluation of factors that influence electric vehicle adoption. Clean Technol. Environ. Policy 2017.

Peng N, Hu Z. Applied economic prediction and decision. Changsha: Zhongnan University Press; 1997.

Moore DS, Notz W, Fligner MA. The basic practice of statistics. 7th ed. New York: W. H. Freeman and Co.; 2015.

Chyxx.com. 2019 China BEV passenger vehicle sales and structure analysis [Internet]. [cited 2020 Feb 20]. Available from: http://www.chyxx.com/industry/202002/835756.html.

Guan M, et al. Mckinsey China auto consumer insights 2019. USA: Mckinsey & Company; 2020.

China NEV development 2021-2035. Beijing: MIIT; 2019.

Wagner I. Projected electric vehicle sales worldwide by region 2025. Statista Data Research 2019.

DOI: http://dx.doi.org/10.18686/fm.v5i3.2287