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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
Tesla ditches India after years of broken promises
Tesla has ditched its plans to build a factory in India after years of failed negotiations.
Tesla’s long-running effort to establish a manufacturing presence in India is officially over. India’s Minister of Heavy Industries H.D. Kumaraswamy confirmed on May 19, 2026 that Tesla has informed authorities it will not proceed with a manufacturing facility in the country.
Tesla first signaled serious interest in India around 2021, when it began hiring local staff and lobbying the Indian government for lower import tariffs. The ask was straightforward: reduce duties enough for Tesla to test the market with imported vehicles before committing capital to a local factory. India’s position was equally firm, with an ask of Tesla to commit to manufacturing first, then receive tariff relief. Neither side moved, and the talks quietly collapsed.
Tesla to open first India experience center in Mumbai on July 15
India had offered a policy that would reduce import duties from 110% down to 15% on EVs priced above $35,000, provided companies committed at least $500 million toward local manufacturing investment within three years. Tesla declined to participate. The tariff standoff was only part of the problem. Analysts pointed to significant gaps in India’s local supply chain, inadequate industrial infrastructure, and a mismatch between Tesla’s premium pricing and the purchasing power of India’s automotive market as additional factors that made the investment difficult to justify.
First signs of an unraveling relationship came in April 2024, when Musk abruptly cancelled a planned trip to India where he was set to meet Prime Minister Modi and announce Tesla’s market entry. By July 2024, Fortune reported that Tesla executives had stopped contacting Indian government officials entirely. The government at that point understood Tesla had capital constraints and no plans to invest.
The more fundamental issue is that Tesla’s existing factories are currently operating at approximately 60% capacity, making a commitment to building new manufacturing capacity in a new market difficult to defend to investors. Tesla will continue selling imported Model Y vehicles through its existing showrooms in Mumbai, Delhi, Gurugram, and Bengaluru, but local production is no longer part of the plan.
SpaceX has revealed the date for the maiden voyage of Starship v3, its newest and most advanced version of the rocket yet.
Starship v3 represents a significant leap forward. At 124 meters tall when fully stacked, it stands taller than previous versions and boasts substantial upgrades.
The vehicle incorporates next-generation Raptor 3 engines, which deliver higher thrust, improved reliability, and simplified designs with fewer parts. Both the Super Heavy booster (Booster 19) and the Starship upper stage (Ship 39) feature these enhancements, along with structural improvements for greater payload capacity—exceeding 100 metric tons to low Earth orbit in reusable configuration.
SpaceX and its CEO Elon Musk have announced that the company aims to push the first launch of Starship v3 this Thursday. Musk included some clips of past Starship launches with the announcement.
Now targeting launch as early as Thursday, May 21 → https://t.co/2gZQUxS6mm
— SpaceX (@SpaceX) May 19, 2026
First Starship V3 launch later this week! pic.twitter.com/JFX4CrSfnY
— Elon Musk (@elonmusk) May 19, 2026
There are a lot of improvements to Starship v3 from past builds. Key hardware changes include a more robust heat shield, upgraded avionics, and modifications optimized for orbital refueling, a critical technology for future missions to the Moon and Mars. This flight marks the first launch from Starbase’s second orbital pad, allowing parallel operations and accelerating the cadence of tests.
This will be the 12th Starship launch for SpaceX. Flight 12 objectives include a full ascent profile, hot-staging separation, in-space engine relights, and reentry testing. The booster is expected to perform a controlled splashdown in the Gulf of Mexico, while the ship will deploy 20 Starlink simulator satellites and a pair of modified Starlink V3 units before attempting reentry.
Success would validate V3’s design for operational use, paving the way for rapid reusability and higher flight rates.
The rapid evolution from V2 to V3 underscores SpaceX’s iterative approach. Previous flights demonstrated booster catches, ship landings, and heat shield advancements. V3 builds on these with nearly every component refined, supported by an expanding production line at Starbase that churns out vehicles at an unprecedented pace.
Starship V3 is here putting SpaceX closer to Mars than it has ever been
This launch comes amid growing momentum for SpaceX’s ambitious goals. Starship is central to NASA’s Artemis program for lunar landings and Elon Musk’s vision of making humanity multiplanetary. A successful V3 debut would boost confidence in achieving orbital refueling and crewed missions in the coming years.
As excitement builds, enthusiasts and engineers alike await liftoff. Weather and technical readiness will determine the exact timing, but the community is optimistic. Starship V3 is poised to push the boundaries of spaceflight once again, bringing reusable interplanetary transport closer to reality.
Elon Musk broke his silence regarding the jury decision to throw out the case against OpenAI and Sam Altman. The Tesla, SpaceX, and xAI frontman has already indicated that an appeal will be filed regarding the decision, which went against him yesterday.
A Federal jury dismissed this high-profile lawsuit after less than two hours of deliberation due to a statute-of-limitations issue.
In a strongly worded post on X on May 18, Musk addressed the federal jury’s dismissal of his high-profile lawsuit against OpenAI, vowing to appeal the ruling to the Ninth Circuit Court of Appeals. The decision, according to Musk, was centered not on the substantive claims but on a statute-of-limitations technicality.
Musk’s lawsuit, filed in 2024, accused OpenAI co-founders Sam Altman and Greg Brockman of breaching the organization’s original nonprofit mission. OpenAI was established in 2015 as a non-profit dedicated to developing artificial intelligence for the benefit of all humanity, with Musk as a key early donor and co-founder before departing in 2018.
Musk alleged that Altman and Brockman improperly shifted the company toward a for-profit model, enriched themselves through massive valuations and partnerships (including with Microsoft), and betrayed founding agreements.
In his post, Musk emphasized that the judge and jury “never actually ruled on the merits of the case, just on a calendar technicality.” He stated unequivocally: “There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question is WHEN they did it!”
Regarding the OpenAI case, the judge & jury never actually ruled on the merits of the case, just on a calendar technicality.
There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question…
— Elon Musk (@elonmusk) May 18, 2026
Musk argued that allowing such actions to stand without review sets a dangerous precedent. “I will be filing an appeal with the Ninth Circuit, because creating a precedent to loot charities is incredibly destructive to charitable giving in America,” he wrote. He reiterated OpenAI’s founding purpose: “OpenAI was founded to benefit all of humanity.”
The jury’s unanimous advisory verdict found that Musk’s claims of breach of charitable trust and unjust enrichment were filed outside California’s three-year statute of limitations. U.S. District Judge Yvonne Gonzalez Rogers adopted the finding and dismissed the case. OpenAI hailed the outcome as vindication, while Musk’s legal team immediately signaled plans to appeal.
The trial, which featured testimony from Musk, Altman, Brockman, Microsoft CEO Satya Nadella, and others, exposed deep rifts in Silicon Valley over AI’s direction.
Musk has long warned that profit-driven AI development, especially with closed models and powerful corporate ties, risks endangering humanity—contrasting it with OpenAI’s original open, safety-focused charter. OpenAI countered that the suit stemmed from business rivalry and that Musk himself had explored for-profit paths earlier.
Musk’s appeal could prolong the saga, potentially affecting OpenAI’s valuation (reportedly over $800 billion) and IPO ambitions. Supporters view his stance as defending nonprofit integrity, while critics see it as sour grapes from a competitor whose own xAI is racing in the AI arena.
Regardless of the legal outcome, the case has spotlighted critical questions about trust, governance, and mission drift in the rapidly evolving AI industry. Musk’s willingness to fight on suggests this chapter is far from closed, with broader implications for how charitable organizations—and the tech giants born from them—operate in the future.
Tesla ditches India after years of broken promises
SpaceX reveals date for maiden Starship v3 launch
