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Tesla turns up vehicle safety with clever ‘crash can’ patent
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.”
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- (Credit: US Patent Office)
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Illustrations of Tesla’s “crash can” patent. (Credit: US Patent Office)
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.
Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.
The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.
Our Bay Area rideshare service now goes to SFO ✈️
— Tesla AI (@Tesla_AI) July 21, 2026
Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.
The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.
UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch
This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.
The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.
Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.
The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.
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