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Tesla turns up vehicle safety with clever ‘crash can’ patent

Tesla Model 3 undergoes crash testing. (Credit: ANCAP Safety Ratings)

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Tesla’s electric cars are already among the safest vehicles on the road today with their impressive safety ratings. But even the best cars still have room for improvement, and one can count on Tesla to be the manufacturer that will do what it can to make its already-safe vehicles even safer. An example of this could be found in a recently published patent that describes a “crash can” that can help protect occupants better in the event of a collision.

The patent, titled “ADVANCED THIN-WALLED STRUCTURE FOR ENHANCED CRASH PERFORMANCE” describes a specific design for a “crash can,” a thin-walled metal structure that is built into the crash zones of a vehicle. These metal structures are built to absorb the energy of an impact, and are designed to deform in a stable manner during events such as a crash. Crash cans are typically a square, single-cell tube directly mounted to the front of the frame of the vehicle. 

Tesla’s crash can patent takes the same concept but raises it up a couple of notches higher. Instead of using a simple square, single-cell tube, Tesla’s patent describes a “multi-cell structure that includes at least four hollow cuboids.” The four walls of the hollow cuboids meet at 90-degree angles and at least two of the cuboids share a wall. Tesla describes its design in the section below. 

“In some embodiments a crash can for a vehicle includes a multi-cell structure that includes a hollow cuboid and four hollow isosceles trapezoidal prisms. The hollow cuboid has four walls and the four hollow isosceles trapezoidal prisms each have a long base, a short base, and two legs. The four hollow isosceles trapezoidal prisms are arranged around the hollow cuboid such that the long base of each hollow isosceles trapezoidal prism shares one of the walls of the hollow cuboid.”

Illustrations of Tesla’s “crash can” patent. (Credit: US Patent Office)

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This updated design, while seemingly a minor change, actually improves the safety of a vehicle during a crash. According to Tesla, the crash can design in its recently-published patent provides a more stable deformation process. This increases the amount of energy that can be absorbed in a collision. 

“One advantage of the various embodiments of the crash cans disclosed herein is that the multi-cell structure of the crash cans provides a more stable form of plastic deformation when the crash can is subject to the force of a collision relative to a single cell (tube) structure. Further, the various geometries described herein may further provide more stable plastic deformation relative to conventional geometries. As described herein, plastic deformation is the process of absorbing energy when the crash can is subject to a collision. Various exemplary crash cans provided herein increases plastic deformation, and thus the amount of energy absorbed, by increasing the probability that the crash cans buckle in a progressive manner. Thus, the multi-cell structure of the exemplary crash cans increases the probability that when subjected to axial force the crash cans will buckle in a stable top-down, progressive folding of the structure.

“Increasing plastic deformation in this manner grants the multi-cell crash can several advantages. For example, increasing plastic deformation in turn increases the amount of energy that will be absorbed during a collision, resulting in lower deceleration for the occupant(s) and critical components of a vehicle involved in a collision. This, in turn, results in an overall safer experience for the occupant(s) and critical components, providing for a lower chance of injury or damage. Additionally, increasing the probability that the multi-cell crash can buckles in a stable manner increases the predictability of how the crash can will react when subject to a collision, which in turn increases the predictability of how the rest of the vehicle will react. This allows for greater predictability of what an occupant will experience and allows for more precise planning on how to keep the occupant safe.”

The full text of Tesla’s novel “crash can” patent could be accessed here

Among the carmakers in the auto segment today, Tesla is arguably the most obsessive when it comes to its vehicles’ safety. Each one of Tesla’s electric cars has performed well in crash tests, with the Model X SUV proving to be near-impossible to topple, and the Model 3 acing the safety tests of the NHTSA, Euro NCAP, ANCAP, and even the IIHS. With improvements such as those described in its recently-published “crash can” patent, Tesla’s electric cars today, as well as its upcoming vehicles, could prove even safer.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla lands regulatory green light for Robotaxi testing in new state

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

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Credit: Tesla

Tesla has landed a regulatory green light to test its Robotaxi platform in a new state, less than three months after the ride-hailing service launched in Texas.

Tesla first launched its driverless Robotaxi suite in Austin, Texas, back on June 22. Initially offering rides to a small group of people, Tesla kept things limited, but this was not to be the mentality for very long.

It continued to expand the rider population, the service area, and the vehicle fleet in Austin.

The company also launched rides in the Bay Area, but it does use a person in the driver’s seat to maintain safety. In Austin, the “Safety Monitor” is present in the passenger’s seat during local rides, and in the driver’s seat for routes that involve highway driving.

Tesla is currently testing the Robotaxi platform in other states. We reported that it was testing in Tempe, Arizona, as validation vehicles are traveling around the city in preparation for Robotaxi.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla is also hoping to launch in Florida and New York, as job postings have shown the company’s intention to operate there.

However, it appears it will launch in Nevada before those states, as the company submitted its application to obtain a Testing Registry certification on September 3. It was processed by the state’s Department of Motor Vehicles Office of Business Licensing on September 10.

It will then need to self-certify for operations, essentially meaning they will need to comply with various state requirements.

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

CEO Elon Musk has stated that he believes Robotaxi will be available to at least half of the U.S. population by the end of the year. Geographically, Tesla will need to make incredible strides over the final four months of the year to achieve this.

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Tesla is improving this critical feature in older vehicles

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Credit: Tesla

Tesla is set to improve a critical feature that has not been present in older vehicles with a new update.

Tesla vehicles feature a comprehensive suite of driver assistance features, some of which aid in driving itself, while others support the vehicle’s surroundings.

One of those features is that of Driver Visualization, and with the rollout of a new update, owners of Intel-based Tesla vehicles are receiving an upgrade that will come with a simple software update.

Tesla plans to use Unreal Engine for driver visualization with crazy upgrade

The update will provide new visualizations while Intel-based vehicles are in reverse, a feature that was not previously available, but will be with Software Update 2025.32.2.

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The improvement was spotted by Not a Tesla App via TheBeatYT_evil:

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Previously, vehicles Tesla built were equipped with Intel-based processors, but newer cars feature the AMD chip, which is capable of rendering these visualizations as they happen. They were capable of visualizations when driving forward, but not in reverse, which is what this change resolves.

It is a good sign for those with Intel-based vehicles, as Tesla seems to be paying attention to what those cars are not capable of and improving them.

This was an undocumented improvement associated with this particular update, so you will not find any mention of it in the release notes that Tesla distributes with each update.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

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Credit: Joe Tegtmeyer | X

Tesla is looking to make a big splash with Robotaxi in a new market, as the company was spotted testing validation vehicles in one region where it has not yet launched its ride-hailing service.

After launching Robotaxi in Austin in late June, Tesla followed up with a relatively quick expansion to the Bay Area of California. Both service areas are operating with a geofence that is expansive: In Texas, it is 173 square miles, while in the Bay Area, it is roughly 400 square miles.

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

There have been plenty of reports out there that have speculated as to where Tesla would land next to test Robotaxi, and Nevada, Florida, Arizona, and New York have all been in the realm of possibility. These regions will need to approve Tesla for regulatory purposes before Robotaxi can officially operate.

Tesla is still testing and performing validation in several regions, and in Tempe, Arizona, things are moving forward as a Model Y with a LiDAR rig was spotted performing ground truth for the platform:

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With the LiDAR unit, many followers of the self-driving and autonomy space might wonder why Tesla uses these apparatuses during validation, especially considering the company’s stance and vision-based approach.

LiDAR is used for “ground truth,” which is basically a solidification or confirmation of what the cameras on the car are seeing. It is a great way to essentially confirm the accuracy of the vision-based suite, and will not be used on Robotaxi units used within the ride-hailing suite.

The Robotaxi platform was made available to the public earlier this month, as Tesla launched its app for iOS users.

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Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs

Downloading the app allows you to join a waitlist, giving you the opportunity to utilize and test the Robotaxi platform in either Austin or the Bay Area.

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