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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
Elon Musk highlights one of Tesla FSD Supervised’s most underrated features
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Tesla’s Full Self-Driving (Supervised) is able to recognize and respond to hand signals, as highlighted recently by CEO Elon Musk.
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Musk shared the update in a quote reply to a video posted by Tesla Europe, which showed a vehicle operating with Full Self-Driving (Supervised) navigating a tight lane in the Netherlands while responding to hand gestures from a person directing traffic.
Hand signal recognition is an important capability for advanced driver-assistance and autonomous systems. In real-world driving, pedestrians, construction workers, parking attendants, and other drivers frequently use hand gestures to direct traffic, yield right of way, or indicate when it is safe to proceed. For a self-driving system operating in mixed environments, interpreting these non-verbal cues is critical.
Musk’s post comes as Tesla owners have surpassed 8 billion cumulative miles driven with FSD (Supervised) engaged. “Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in a post on X.
Annual FSD (Supervised) miles have increased sharply over the past five years. Roughly 6 million miles were logged in 2021, followed by 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025.
In the first 50 days of 2026 alone, Tesla owners logged another 1 billion miles. At the current pace, the fleet is trending toward approximately 10 billion FSD (Supervised) miles this year.
Tesla’s latest North America safety data, covering all road types over a 12-month period, also indicates that vehicles operating with FSD (Supervised) were recorded one major collision every 5,300,676 miles. By comparison, the U.S. average during the same period was one major collision every 660,164 miles.
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Tesla hiring for Commercial Charging role hints at Semi push in Europe
The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
Tesla appears to be expanding its Commercial Charging efforts in Central Europe. The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
In a post on LinkedIn, Forer stated that Tesla is looking for a “high-energy executer to own Commercial Charging Sales in Central Europe.” He added that the role will involve closing commercial deals across Tesla’s “entire product range (Supercharging & Megacharging).”
The job listing specifies that the hire will lead the sale of Tesla’s high-power charging products, including Supercharger and Heavy Duty Charging, to major partners such as charge point operators, real estate owners, and retail companies. The role requires fluency in German and English and is based onsite in Munich.
Tesla already operates more than 75,000 Superchargers globally, though the Semi’s Megacharger network is still in its early stages. The inclusion of Heavy Duty Charging in the job description is notable, then, as it aligns with Tesla’s Megacharger infrastructure, which is designed to support the Tesla Semi.
Tesla CEO Elon Musk recently confirmed that the Tesla Semi is moving into high-volume production this 2026. In a post on X, Musk noted that “Tesla Semi starts high volume production this year.”
Aerial footage of the Tesla Semi Factory near Giga Nevada also shows that the facility looks nearly complete, with work now underway inside the facility.
Tesla has also refreshed the Semi lineup on its official website, listing two variants: Standard and Long Range. The Standard trim offers up to 325 miles of range with an energy consumption rating of 1.7 kWh per mile, while the Long Range version provides up to 500 miles.
Both variants support fast charging and can recover up to 60% of range in 30 minutes using compatible infrastructure such as the Megacharger Network.
The presence of Heavy Duty Charging in a Central Europe-focused sales role could indicate that Tesla is preparing charging infrastructure ahead of wider Semi deployment in the region. While Tesla has not formally announced a European launch timeline for the Semi, the vehicle, particularly its range, makes it an ideal fit for the area.
Elon Musk
Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says
Tesla Full Self-Driving is set to get an awesome new feature in the near future, CEO Elon Musk confirmed on X.
Full Self-Driving is the company’s semi-autonomous driving program, which is among the best available to the general public. It still relies on the driver to ultimately remain in control and pay attention, but it truly does make traveling less stressful and easier.
However, Tesla still continuously refines the software through Over-the-Air updates, which are meant to resolve shortcomings in the performance of the FSD suite. Generally, Tesla does a great job of this, but some updates are definitely regressions, at least with some of the features.
Tesla Cybertruck owner credits FSD for saving life after freeway medical emergency
Tesla and Musk are always trying to improve the suite’s performance by fixing features that are presently available, but they also try to add new things that would be beneficial to owners. One of those things, which is coming soon, is giving the driver the ability to prompt FSD with voice demands.
For example, asking the car to park close to the front door of your destination, or further away in an empty portion of the parking lot, would be an extremely beneficial feature. Adjusting navigation is possible through Grok integration, but it is not always effective.
Musk confirmed that voice prompts for FSD would be possible:
Coming
— Elon Musk (@elonmusk) February 21, 2026
Tesla Full Self-Driving is a really great thing, but it definitely has its shortcomings. Navigation is among the biggest complaints that owners have, and it is easily my biggest frustration with using it. Some of the routes it chooses to take are truly mind-boggling.
Another thing it has had issues with is being situated in the correct lane at confusing intersections or even managing to properly navigate through local traffic signs. For example, in Pennsylvania, there are a lot of stop signs with “Except Right Turn” signs directly under.
This gives those turning right at a stop sign the opportunity to travel through it. FSD has had issues with this on several occasions.
Parking preferences would be highly beneficial and something that could be resolved with this voice prompt program. Grocery stores are full of carts not taken back by customers, and many people choose to park far away. Advising FSD of this preference would be a great advantage to owners.