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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.
News
Tesla begins Robotaxi certification push in Arizona: report
Tesla seems serious about expanding its Robotaxi service to several states in the coming months.

Tesla has initiated discussions with Arizona transportation regulators to certify its driverless Robotaxi service in the state, as per a recent report from Bloomberg News. The move follows Tesla’s launch of its Robotaxi pilot program in Austin, Texas, as well as CEO Elon Musk’s recent comments about the service’s expansion in the Bay Area.
The Arizona Department of Transportation confirmed to Bloomberg that Tesla has reached out to begin the certification process for autonomous ride-sharing operations in the state. While details remain limited, the outreach suggests that Tesla is serious about expanding its driverless Robotaxi service to several territories in the coming months.
The Arizona development comes as Tesla prepares to expand its service area in Austin this weekend, as per CEO Elon Musk in a post on X. Musk also stated that Tesla is targeting the San Francisco Bay Area as its next major market, with a potential launch “in a month or two,” pending regulatory approvals.
Tesla first launched its autonomous ride-hailing program on June 22 in Austin with a small fleet of Model Y vehicles, accompanied by a Tesla employee in the passenger seat to monitor safety. While still classified as a test, Musk has said the program will expand to about 1,000 vehicles in the coming months. Tesla will later upgrade its Robotaxi fleet with the Cyercab, a two-seater that is designed without a steering wheel.
Sightings of Cybercab castings around the Giga Texas complex suggests that Tesla may be ramping the initial trial production of the self-driving two-seater. Tesla, for its part, has noted in the past that volume production of the Cybercab is expected to start sometime next year.
In California, Tesla has already applied for a transportation charter-party carrier permit from the state’s Public Utilities Commission. The company is reportedly taking a phased approach to operating in California, with the Robotaxi service starting with pre-arranged rides for employees in vehicles with safety drivers.
News
Tesla sets November 6 date for 2025 Annual Shareholder Meeting
The automaker announced the date on Thursday in a Form 8-K.

Tesla has scheduled its 2025 annual shareholder meeting for November 6, addressing investor concerns that the company was nearing a legal deadline to hold the event.
The automaker announced the date on Thursday in a Form 8-K submitted to the United States Securities and Exchange Commission (SEC). The company also listed a new proposal submission deadline of July 31 for items to be included in the proxy statement.
Tesla’s announcement followed calls from a group of 27 shareholders, including the leaders of large public pension funds, which urged Tesla’s board to formally set the meeting date, as noted in a report from The Wall Street Journal.
The group noted that under Texas law, where Tesla is now incorporated, companies must hold annual meetings within 13 months of the last one if requested by shareholders. Tesla’s previous annual shareholder meeting was held on June 13, 2024, which placed the July 13 deadline in focus.
Tesla originally stated in its 2024 annual report that it would file its proxy statement by the end of April. However, an amended filing on April 30 indicated that the Board of Directors had not yet finalized a meeting date, at least at the time.
The April filing also confirmed that Tesla’s board had formed a special committee to evaluate certain matters related to CEO Elon Musk’s compensation plan. Musk’s CEO performance award remains at the center of a lengthy legal dispute in Delaware, Tesla’s former state of incorporation.
Due to the aftermath of Musk’s legal dispute about his compensation plan in Delaware, he has not been paid for his work at Tesla for several years. Musk, for his part, has noted that he is more concerned about his voting stake in Tesla than his actual salary.
At last year’s annual meeting, TSLA shareholders voted to reapprove Elon Musk’s compensation plan and ratified Tesla’s decision to relocate its legal domicile from Delaware to Texas.
Elon Musk
Grok coming to Tesla vehicles next week “at the latest:” Elon Musk
Grok’s rollout to Tesla vehicles is expected to begin next week at the latest.

Elon Musk announced on Thursday that Grok, the large language model developed by his startup xAI, will soon be available in Tesla vehicles. Grok’s rollout to Tesla vehicles is expected to begin next week at the latest, further deepening the ties between the two Elon Musk-led companies.
Tesla–xAI synergy
Musk confirmed the news on X shortly after livestreaming the release of Grok 4, xAI’s latest large language model. “Grok is coming to Tesla vehicles very soon. Next week at the latest,” Musk wrote in a post on social media platform X.
During the livestream, Musk and several members of the xAI team highlighted several upgrades to Grok 4’s voice capabilities and performance metrics, positioning the LLM as competitive with top-tier models from OpenAI and Google.
The in-vehicle integration of Grok marks a new chapter in Tesla’s AI development. While Tesla has long relied on in-house systems for autonomous driving and energy optimization, Grok’s integration would introduce conversational AI directly into its vehicles’ user experience. This integration could potentially improve customer interaction inside Tesla vehicles.
xAI and Tesla’s collaborative footprint
Grok’s upcoming rollout to Tesla vehicles adds to a growing business relationship between Tesla and xAI. Earlier this year, Tesla disclosed that it generated $198.3 million in revenue from commercial, consulting, and support agreements with xAI, as noted in a report from Bloomberg News. A large portion of that amount, however, came from the sale of Megapack energy storage systems to the artificial intelligence startup.
In July 2023, Musk polled X users about whether Tesla should invest $5 billion in xAI. While no formal investment has been made so far, 68% of poll participants voted yes, and Musk has since stated that the idea would be discussed with Tesla’s board.
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