Tesla issues a recall on 80,000 cars in China adding another one to a year with a lot of recalls, but most of them are easily fixed with software updates.
Earlier this year, NHTSA issued a series of recalls on Tesla vehicles that were highly reported in the media.
What was less reported, though, is that almost all of those recalls were fairly simple software issues that Tesla has been able to fix through over-the-air software updates.
Whenever there’s a safety-related issue, NHTSA has to issue a “safety recall,” even if the automaker doesn’t have to physically recall any vehicle, which leads to some confusion.
Again last month, a Tesla recall of “1 million vehicles” made many headlines when the recall simply consisted of Tesla changing how its software handled window operations. These instances have led Tesla CEO Elon Musk to complain about the term “recall” and how it is used against Tesla by the media.
Today, Tesla also announced more recalls in China on about 80,000 vehicles.
According to Chinese authorities, the recall includes 67,698 imported Model S and Model X vehicles with a software problem related to the battery pack. Again, the fix is a simple software update.
However, this time there’s also a physical recall due to a seat belt issue on about 13,000 Model 3 vehicles: 2,736 imported and 10,127 made in China.
With now over 20 recalls in 2022, it has been a “Total Recall” year for Tesla – pun intended:
But Tesla is not the only automaker affected by large recalls this year. Ford just confirmed that it is recalling another half a million vehicles due to a fire risk, and many automakers have also recalled millions of vehicles this year.
If anything, the fact that the large majority of Tesla’s recalls are quickly fixed with over-the-air software updates – rather than having to bring the cars back to the dealership like other automakers – shows that Tesla’s level of connectivity in its vehicles is a major advantage in the industry.
It makes for an easier experience for the customers, and it is much cheaper and more efficient for Tesla.
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