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Tesla and EV buyers in China find relief in extended “new energy vehicle” subsidy

Tesla Model 3 Performance in Guangzhou, China [Credit: xiaoteshushu via Twitter]

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Chinese Premier Li Leqiang announced on Tuesday that the country would extend “new energy vehicle” subsidies for two additional years. The extension aims to combat economic downturns that have arisen from the halting of vehicle production as a result of the COVID-19 pandemic by encouraging consumers to buy electric and clean energy vehicles in its bid to promote environmental sustainability.

In China, the term “new energy vehicle” applies to any car with plug-in capabilities to receive power. This term refers to battery electric vehicles (BEVs), plug-in hybrid electric vehicles (PHEVs), and fuel cell electric vehicles (FCEVs).

The extension of the subsidies will benefit electric vehicle manufacturers who sell or manufacture their products in China. Tesla is one of the companies that will benefit from the longer subsidy period as the electric automaker continues to make an impactful presence in China, the largest automotive market in the world.

Currently, subsidies in China are applied to electric vehicles with over 400 kilometers, or about 250 miles, of range. Consumers who purchase an electric car that fits the range standards are subject to receive a 25,000 yuan (USD 3,600) subsidy that decreases purchase cost, giving citizens more reason to purchase an electric vehicle instead of a petrol-based car.

According to a press release from Ideanomics, a company focused on facilitating the adoption of commercial electric vehicles, the extension of the subsidies will also allow fleet operators and manufacturers additional time to secure financing from investors. The extra time could also enable manufacturers to recover from decreases in production due to the current COVID-19 pandemic that has affected virtually all automakers across the world in the first quarter of 2020.

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The addition of these subsidies could certainly help China recover from economic repression due to the coronavirus. As many portions of the Chinese economy were shut down due to the ongoing spread of the pandemic, increased subsidies that will lead to lower electric vehicle prices could encourage consumers to take advantage of cheaper car prices while they are still available.

Additionally, the Chinese Government will also begin pushing for the replacement of diesel vehicles with an emissions rating of III or higher in key cities like the Chinese capital of Beijing, a measure that will crackdown on excessive amounts of pollution that is placed into the atmosphere because of diesel vehicles. Money utilized by the Chinese Government will be used to begin replacing diesel vehicles in large cities that exceed the country’s Stage III emissions rating. This new, more strict rating would eventually clear cities high traffic cities like Beijing from heavy-duty diesel vehicles that release more than 2.1 grams of carbon monoxide per kWh of energy used, according to dieselnet.com.

The addition of these more strict and aggressive emissions standards in large cities would limit the amount of pollution that is sent into the air in areas where the population is exceptionally high, and more cars are on the road. The Ministry of Ecology and Environment in China implemented level VI fuel standards in July 2019, a measure that was used to crack down on low-grade fuel and reduce the overall presence of harmful chemicals in the atmosphere, Reuters reported.

The Ministry reports that diesel trucks accounted for just 7.8% over 300 million vehicles, but contributed to 57.3% of the total nitrogen dioxide emissions in the atmosphere. Furthermore, at least 75% of airborne particulate matter also came from diesel trucks, Reuters said.

Additional efforts to improve diesel emissions standards in the world’s largest car market could help the world work toward cleaner forms of transportation. The combination of new energy vehicle subsidies and more strict diesel truck guidelines will both contribute to a cleaner future in China, along with providing an added boost to the Chinese economy after COVID-19 made its mark in a multitude of ways.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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