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Tesla Model Y welding efficiencies paves way to better build quality, top safety rating
Tesla CEO Elon Musk said the Model Y would be the safest midsized SUV on the road when it was unveiled in March 2019. Sandy Munro’s 11th episode of his Model Y breakdown series shows how the vehicle’s weld quality, added foam reinforcements, and “aluminum crush plate” could solidify Musk’s claims about the vehicle’s safety, while opening the doors towards better build quality.
Munro states the company’s focus on one welding technique has left him with nothing but positive remarks about the vehicle’s build quality. “The distancing is great. The edge is perfect. This is the kind of stuff that any car company…would be happy to have these kinds of welds all the way around,” he said.
The Model 3’s weld techniques were discussed during Munro’s teardown of the sedan in 2018 when he criticized Tesla’s use of multiple weld techniques. After stating the Model 3’s welding made it look like “a science project,” Munro claims the use of a single technique would have allowed for a more consistent build quality throughout the vehicle.
True to form, Tesla appears to have taken Munro’s suggestion for the Model Y. Tesla was consistent with the Model Y’s welds, and it surely impressed Munro. The electric car maker also used self-piercing rivets, or SPRs, to join dissimilar materials, like steel and aluminum. These two materials are present on the rear door flange welds, making for a quality build on the vehicle’s door frames.
Additionally, Tesla installed head impact countermeasures, or HICs, on several locations. These are used to soften the blow in the event of an accident where a passenger’s head collides off of a portion of the vehicle’s interior. Tesla’s decision to add this was a nice touch in Munro’s opinion, as it only increases the safety of the vehicle.
The Model Y is also equipped with a unique piece of aluminum in the upper lip of the trunk. Munro calls it the “aluminum rear crush plate/bracket.” The part holds the outer portions of the chassis together. The piece also is responsible for folding in the event of a rear collision.
This increases not only safety but also cost-effectiveness if an accident occurs because it will keep the outer frame of the vehicle from being compromised, Munro says. It is easy to remove thanks to a few bolts that are visible and readily accessible, and would also save a driver perhaps hundreds of dollars in labor costs at a shop. “If I hit a pole, it will cost me a few bucks, but it won’t cost me the whole damn car,” Munro jokes.
Under the rear seats, Tesla has installed not only EPP foam, which offers cost-efficiency and effectiveness, but also the Model 3’s floor cover plate. This is used to hold the rear seating assembly in place and separate the cabin from the undercarriage of the car where the battery is fitted. Tesla’s utilization of this Model 3 part proved the part was perfect for the Model Y, and the company has plenty in its stock bin, saving them time and money throughout the manufacturing process of the new vehicle.
Tesla’s already high safety marks for the Model 3 were improved even further in the Model Y thanks to recommendations from Munro. The auto expert’s discontent with the Model 3’s welding eventually led to improvements in the Model Y’s build quality. Tesla’s decision to add other safety features could make the vehicle Tesla’s safest car yet. Just as Elon Musk said a year ago, the Model Y may very well be the most reliable midsize crossover available to consumers.
Watch Munro Live’s breakdown of the Model Y’s safety features below.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
