News
Tesla’s damage monitoring patent hints at cars driving to repair centers autonomously
Despite being cutting-edge machines that could be described as “the most fun thing” that anyone can possibly buy, Tesla’s electric cars are still subjected to a great deal of stress during operation. Electric cars have fewer moving parts than their fossil fuel-powered counterparts, but nevertheless, the components that move, such as their electric motors and suspension, are still subject to different types of stress.
One of Tesla’s recently published patent applications, titled “System and Method for Monitoring Stress Cycles,” discusses this particular issue. As noted by the electric car maker, machines may heat up or cool down, or speed up and slow down at different times during operation, resulting in thermal and mechanical stress. Over time, such stress could result in decreased performance, which is referred to as damage.
Damages are costly and hazardous. Stress-related damage results in equipment downtime, performance degradation, safety hazards, and maintenance expenses, to name a few. In the case of Tesla’s electric cars, these damages can cause breakdowns, or worse, accidents. To prevent this, strategies are usually employed to detect and address stress-related damage, such as repairing damaged parts or replacing components at set intervals. Tesla notes in its patent application that both practices are time-consuming and costly.
“Even regular inspections may not provide adequate protection against stress-related damage. For example, the inspections may not provide sufficient insight into the characteristics of the stresses imposed on a given component to accurately assess its condition. Moreover, the inspections themselves may be burdensome and costly,” the company wrote.
With this in mind, there is a need for a system that can detect and address stress-related damage in a more efficient and cost-effective manner.

Tesla’s recently published patent application outlines a system involving a processor configured to monitor stress imposed on subsystems while determining the cumulative damage to a vehicle’s systems. Tesla notes that a stress monitoring system would work optimally if the processor is configured to monitor stress cycles in real-time, allowing the system to avoid using too much memory in the process. Tesla describes the concept in the following discussion.
“To address these challenges, processor 140 may be configured to monitor stress cycles in real-time. For example, processor 140 may identify and record stress cycles concurrently while receiving the series of stress values from stress sensors 131-139. In some embodiments, for each received stress value in the series of stress values, processor 140 may perform one or more operations to determine whether a stress cycle has been completed. When processor 140 detects the end of a stress cycle, processor 140 may record the stress cycle immediately, such that the cumulative damage model can be continuously updated to reflect the latest recorded stress cycle.
“In some examples, real-time monitoring of stress cycles may be performed without storing the series of stress values in memory 150. For example, rather than storing a complete series of stress values for later data processing, a comparatively small number of stress values may be stored temporarily to track in-progress stress cycles, but other stress values may be discarded as soon as they are received. Accordingly, the amount of memory used during real-time monitoring of stress cycles may be reduced in comparison to alternative approaches.”
Adopting such a system gives notable benefits to electric car owners. By using a real-time monitoring model, for one, drivers would be notified by their vehicles once a component needs maintenance. In some instances, the car could immediately send stress and damage data to the company. Taking the concept even further, Tesla notes that a vehicle equipped with autonomous driving features would be able to drive itself to a service center when it needs repairs.
“In some embodiments, an operator of vehicle 110 may be notified when damage to subsystems 121-129 is detected. For example, the operator may be alerted when the level of damage reaches a predetermined threshold, such that the operator may take an appropriate remedial action (e.g., bringing vehicle 110 in for maintenance). In one illustrative example, when the level of damage is represented as a damage fraction, the operator may be alerted when the fractional damage to a given subsystem reaches 70%. In some examples, the alert may be communicated to the operator via a dashboard 160 (and/or another suitable control/monitoring interface) of vehicle 110.
“In some examples, processor 140 may be coupled to one or more external entities over a network 170. Accordingly, processor 140 may be configured to send stress cycle and/or damage data over network 170 to various recipients. For example, processor 140 may send stress cycle and/or damage data to a service center, such that service center may contact the operator to schedule a maintenance appointment when a damaged subsystem is identified. Additionally or alternately, when vehicle 1 10 is an autonomous vehicle, vehicle 110 may be instructed to drive autonomously to service center for repairs.”
Tesla is arguably one of the most proactive companies in the auto industry. For example, automotive teardown expert Sandy Munro has already dubbed the company’s batteries as the best in the market today, but Tesla’s Automotive President Jerome Guillen has stated that the company is still constantly making its batteries even better. In an interview with CNBC, Guillen pointed out that the design of Tesla’s battery cells is “not frozen.” With this in mind, it is not very surprising to see Tesla exploring proactive new ways to figure out more effective ways to monitor damages on its electric vehicles.
Tesla’s constant initiative to improve is teased somewhat in the patent applications from the company that has been published over the past few months. Among these include an automatic tire inflation system that teases off-road capabilities for the company’s vehicles, a system that addresses panel gaps during vehicle assembly, a way to create colored solar roof tiles, and even a system that uses electric cars as a way to improve vehicle positioning.
The full text of Tesla’s recently published patent application could be accessed here.
Elon Musk
SpaceX comes with a slew of changes for Starship Flight 13
SpaceX is gearing up for the 13th Starship integrated flight test, which is currently scheduled for Thursday, July 16, with the launch window opening up at 6:30 PM E.T. from Starbase in South Texas.
This mission, the second with the V3 Starship and Super Heavy vehicles, builds directly on the foundation of Flight 12 while introducing ambitious new objectives, including the debut deployment of next-generation Starlink V3 satellites.
The rapid iteration between flights underscores SpaceX’s “fail fast, learn faster” philosophy, with engineers addressing specific anomalies from the previous test to push reusability and payload capabilities further.
Starship’s thirteenth flight test is preparing to launch as early as Thursday, July 16 → https://t.co/Rp7VwBzpWx pic.twitter.com/jdpFlQUEpF
— SpaceX (@SpaceX) July 11, 2026
Flight 12 occurred earlier in 2026 and encountered notable challenges that became catalysts for Flight 13’s improvements. Issues included booster course deviations during the flip maneuver after stage separation, reusability problems with Super Heavy’s Raptor engine relights for the boostback burn, and an engine-out event on the Starship upper stage during its propulsion phase.
These hiccups, while they did not prevent overall mission success, highlighted areas needing refinement for more consistent performance and higher safety margins in future operational flights.
Elon Musk called it Epic: The full story of SpaceX’s Starship Flight 12
In response, SpaceX implemented a comprehensive suite of both hardware and software upgrades.
For the booster, engineers developed a more robust stage separation flip sequence to maintain stable orientation and prevent off-course rotation. Hardware modifications have enhanced Raptor re-light reliability during the boostback burn, complemented by updated engine alarms and abort logic tailored for multi-engine operations. On the Starship side, propulsion system changes directly tackle the Flight 12 engine-out scenario, improving redundancy and operational resilience.
Another major focus of SpaceX for Flight 13 was the advancements in the heat shield. New tile designs and attachment mechanisms, including tests of aft flaps and skirts, aim to boost durability.
Load-sensing tiles will measure real-time stresses during atmospheric entry, while white-painted tiles simulate missing ones as imaging targets. Six of the 20 Starlink V3 satellites carried aboard will feature specialized cameras to scan and transmit heat shield imagery back to ground teams, providing critical data for future return-to-launch-site attempts.
The mission profile also includes a higher dynamic pressure ascent to stress-test the thermal protection system and increase payload potential, alongside a planned in-space Raptor engine relight demonstration.
The V3 Starlink satellites themselves mark a leap forward, equipped with laser links, deployable solar arrays, and improved antennas to expand network capacity and speeds.
The company wrote:
“For the first time, Starship will carry V3 Starlink satellites to space, which aim to greatly expand the network’s capacity and user speeds. As part of this initial test, Starship is planned to deploy 20 satellites which will extend solar arrays and antennas and will attempt to connect with ground stations in South Africa and the larger Starlink constellation via high-capacity lasers. Six of the satellites have been modified with a suite of cameras to scan Starship’s heat shield and transmit imagery down to operators to continue testing methods of analyzing Starship’s heat shield readiness for return to launch site on future missions. Several tiles on Starship have been painted white to simulate missing tiles and serve as imaging targets in the test.”
This dual-purpose flight tests both vehicle reliability and satellite tech in one integrated operation.
These iterative changes, catalyzed by Flight 12’s data, position Starship closer to rapid reusability goals essential for ambitious programs like Artemis lunar missions and global Starlink coverage.
As SpaceX continues its aggressive test cadence, Flight 13 exemplifies how targeted engineering responses to real-flight anomalies accelerate progress toward fully operational, high-cadence launches. Success here could mark another milestone in the Starship program for SpaceX.
Investor's Corner
Tesla gets price target upgrade on heels of crazy successful auto quarter
Tesla received a price target upgrade just on the heels of what was a crazy successful quarter for its automotive business, as the company reported a delivery beat of over 15 percent for Q2.
Jefferies analysts are upping Tesla’s price target (NASDAQ: TSLA) to $400 from $375, while maintaining their “Hold” rating on shares, and the strong automotive deliveries from Q2 is a big reason. However, there are some other catalysts that Jefferies believes position Tesla for a strong position in the second half of the year.
Strong Deliveries
Tesla reported 480,000 deliveries for Q2, while Wall Street was between 395,000 and 405,000, as an overall consensus. It was an incredibly strong quarter from a delivery perspective, and Tesla sold well more than it produced during the three months.
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
While vehicle deliveries are not necessarily looked at in the light that they used to be, Tesla still maintains a lot of advantages for keeping deliveries strong. With the loss of the $7,500 EV Tax Credit last year, Tesla still maintains a strong demand case for its EVs.
Robotaxi Performance
Tesla has been operating Robotaxi for over a year now, as it launched in Austin in mid-2025. That program has expanded to Houston and Dallas, the San Francisco Bay Area, and, most recently, Miami, Florida, the suite’s first appearance in the Sunshine State.
While the Robotaxi suite is still in its early phases and Tesla is working through things like fleet size and wait times, the company has been able to undercut the pricing of its competitors and has a great safety record.
Merger Speculation with Tesla and SpaceX
This is perhaps the biggest topic that many are speaking about with Tesla and SpaceX, and it is the one thing that seems to be on the mind of every investor.
Jefferies warns that growing talk of a Tesla-SpaceX merger could cause Tesla stock to trade more like a SpaceX proxy, which may disconnect it from underlying automotive fundamentals. SpaceX has a lot going for it, especially its compute deals that have been widely publicized as of late.
Profitability in New Projects Could Take Some Time
Tesla has a few long-term ventures in the pipeline, most notably the Optimus project and Robotaxi, which is launched but will take several years to expand to a meaningful level that resonates with everyday people.
This is something that investors need to be careful of. Tesla’s projects could take some time to round out, so Jefferies advises that these may carry initial losses, rather than immediate profit. Seasoned Tesla investors have echoed something like this for a long time; they knew going in it would not be an open-and-shut strategy. It was going to take time.
These new projects are no different.
News
Tesla readies its autonomous Cybercab and Robotaxi cleaning service
A Texas permit just confirmed Tesla’s cleaning robot is coming to service its Cybercab and Robotaxi fleet.
A routine Texas building permit may have quietly confirmed that Tesla’s robot vacuum and autonomous cleaning bot for the Robotaxi and Cybercab is coming. A state filing with the Texas Department of Licensing and Regulation, as first discovered by Tesla enthusiast Spencer and posted to X, that project number TABS2025022006, lists the scope of work at Tesla’s Austin Robotaxi hub at 5900 E Ben White Blvd to include a “Cleaning Robot” alongside Supercharger cabinets and an Equipment Inspection System.
Tesla first showed the cleaning robot publicly on January 31, 2025, posting a short video on X with the caption “This robot sucks,” showing a large robotic arm inside a Cybercab cabin switching between attachments to vacuum debris, pick up trash, and wipe down surfaces.
The operational case for this hardware comes down to mathematics. A robotaxi running rides across Austin needs to cycle passengers continuously to generate revenue. Every minute a vehicle sits waiting for a human cleaning crew is a minute it is not earning. A robotic arm that can fully clean a Cybercab cabin between rides in under two minutes removes one of the key bottlenecks in fleet utilization that no autonomous vehicle company has yet solved at scale.
This robot sucks pic.twitter.com/VUmGfCM5B3
— Tesla (@Tesla) January 31, 2025
The 5900 E Ben White Blvd address sits roughly 12 miles southwest of Gigafactory Texas, where Tesla has been mass producing its Cybercab. The Ben White facility is expected to functions as Tesla’s Austin Robotaxi Hub, the physical base of operations where fleet vehicles return between rides to charge, get cleaned, and undergo inspection before being dispatched again – and all autonomously. One can imagine a Cybercab dropping off a passenger, routes itself back to Ben White, pulls into the cleaning station, charges on one of the Supercharger cabinets listed in the same permit, passes the equipment inspection system, and returns to service, all without a human making a single decision.
The sighting activity around both locations has accelerated in parallel with production. By mid-March 2026, Cybercabs were spotted regularly on public roads across Austin and Silicon Valley. Tesla’s Robotaxi operations in Texas has expanded to cover the entire Austin metro area and has spread to Dallas, while autonomous Cybercab employee shuttle runs at Gigafactory Texas are also set to begin soon. What it represents is the physical infrastructure behind a fleet that Tesla intends to run without anyone cleaning, driving, or dispatching it by hand.