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EV adoption spurs updated guidance on parking structure design
As electric vehicles (EVs) become increasingly common on roads around the world, many infrastructural changes will be needed to accommodate them. One example includes the design of parking garages, which some say will require updated fire safety protocols and additional modifications to accommodate the heavy weight of EVs.
The United Kingdom’s Institution of Structural Engineers released a new design guidance for parking garages earlier this year, pointing out a broad range of topics related to the structures, from EV weight, charging access and reduced noise levels to fire safety considerations (via CNBC). The guidance includes suggestions for the design of garages that are multi-story, underground or simply located inside offices or residential buildings.
Perhaps the most pressing topic included in the guidance for parking garages — called multi-story car parks in the U.K. — is the battery hardware used in EVs, which makes them much heavier than internal combustion engine (ICE) vehicles. With increased range models and a wider span of vehicle classes, EV weights will likely continue getting heavier in the future.
“This extra load and the changing fire safety requirements are all considerations not just for new car parks, but for existing structures too,” the institution writes in the report.
According to the group, average vehicle weights have increased from 1.5 metric tons (3,307 pounds) in 1974 to almost 2 metric tons (4,409 pounds) this year. As one example, Tesla’s forthcoming Cybertruck is a stainless steel behemoth, expected to weigh somewhere between 5,000 and 8,000 pounds (2.3 to 3.6 metric tons).
Institution fellow and co-author of the guidance Chris Whapples also notes that some newer EVs are well over 3 metric tons (6,614 pounds).
“The thing to bear in mind is that the ones that cause the damage, if you like, are the heavy vehicles — not the vehicles that are heavier than they were 40 years ago but still within the capacity of the design for car parks,” Whapples explained in an interview with CNBC. “We’re seeing increasing numbers now of SUVs, large executive cars — both fossil-fueled and battery ones — and pickup trucks, which are immensely heavy.”
Whapples details a handful of potential solutions for heavy vehicles, primarily including the need to retrofit older garages with increased structural support, either in specific spots that are determined to be weaker or in their entirety. He also notes that heavy vehicles could stay on ground floors to park, and garages could even screen the weights of cars as they enter.
“If one pickup is significantly overloaded and that car park is weak, that’s a potential disaster waiting to happen,” Whapples added. “We said, as an industry, we must actually check our car parks out and make sure that that’s not going to happen. Because what we want is the public to maintain confidence in our car parks and structural engineers.”
Another top concern detailed in the guidance was improving fire safety protocols in parking garages. Whapples notes that fire risks aren’t exclusive to EVs, adding that gasoline cars can also start fires and make situations more complicated. While EV fires aren’t considered more common than ICE vehicle fires, they can be especially tough to put out, he explains.
“To actually extinguish an EV fire is very, very difficult — particularly if the battery is on fire, because you’ve got so much energy that’s locked in,” Whapples said.
As for potential solutions, Whapples says that sprinkler systems could be an important way to mitigate fire spread, especially in underground car parks.
“Although the sprinkler system will not put out the car fire, it will reduce the rate of spread within the car park, so it’s constantly … ‘quenching’ the car next to the one that’s on fire, and stopping that one from catching fire,” Whapples explains.
All of these and more points will need to be considered ahead of mass EV adoption, both for existing garages and newly built construction. The International Energy Agency (IEA) expects EVs, buses, vans and heavy trucks to reach as many as 145 million units globally by 2030, though government ramp-up efforts could boost that number even more. In 2022, 10 million EVs were sold, including plug-in hybrids and battery-electric vehicles.
The discussions come ahead of Tesla’s initial release of the Cybertruck, which has been widely discussed for its large size, among other details. If many EVs are physically larger than ICE vehicles in the future, it could also require garages to be built with similarly larger parking spaces. Tesla has rolled out some wider and longer parking spaces at its Supercharger stations for the Cybertruck, a move that may be necessary for all parking structures down the road.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
News
Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
