Tesla’s Model Y is undoubtedly is a popular segment from the electric vehicle maker. The company wants to increase the production of the car. Model Y is an electric SUV. Tesla has now sought permission from the Chinese government to produce more Model Y versions in the country. It has filed applications with the government. The company wants to cover the Chinese electric vehicles market. It sees huge growth potential. The Chinese market is emerging as one of the biggest global EV markets. Tesla in its plea said that it wants to produce five more versions of the SUV. The company wants a nod to start production at its Gigafactory Shanghai. The facility hosts the final assembly of Model 3 and Model Y. The company started deliveries of Model Y in China in January this year.
Tesla will start the production of five more versions once it receives the necessary approval. The company has plans to export some of the versions produced at the factory to other markets. Tesla is believed to be aiming at the markets where electric SUVs are yet to hit the roads. Notably, Tesla’s filing came soon after the government invited applications for new energy vehicle production in the country. Reports say that Tesla has moved batches of filings. It is believed that Tesla’s applications are related to new versions of the Model Y. The five versions of Model Y include two Standard Range versions. While one will have a domestically produced motor, the second one will see an imported motor.
Tesla has already launched a Standard Range of Model Y in China. However, the company is yet to begin the deliveries. It is targeting to start delivering the SUV from September. Tesla introduced the cheaper version of Model Y in the United States earlier this year. Notably, Model Y has dominated the global EV sales. It is Tesla’s star vehicle. It sold more than 76,000 units in the first half of 2021. Model Y is currently available in two configurations — Long Range and Performance. Both have dual-motor powertrains. This improves the vehicle’s energy efficiency and performance metrics.