Evaluatıon of different electric battery technology for the electric vehicle industry using forecasting methods

Technology forecasting is a valuable tool for the technology level analyzing and it shows the technological effects for the long term on the new products. Quantitative and qualitative methods are the two main parts of technology forecasting, but they are further divided into several subgroups. This study aims to get the forecasting of electric vehicle batteries technology that would help the automotive industry. They can estimate the future of the electric vehicle batteries technology that they are planning to design on their vehicles and govern their resources and investments properly. In this research, technology forecasting methods are explained and compared, and new electric source technologies for the automotive industry are analyzed. Different types of electric batteries in the automotive industry are analyzed using forecasting methods. In the forecasting methods, patent analysis is used, and the forecasts are performed using the pearl curve. Lastly, a technology substitution model created from the patent analysis is employed and discussed.