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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 bolsters App with new safety, insurance, and storage features
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.
Tesla Insurance – Safety Score 3.0
This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).
Update Tracking
Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.
Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.
Storage Management
Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.
Now, manually deleting the Dashcam videos is easier than ever.
Trailer Light Test
This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.
Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.
Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.
News
Tesla Robotaxi-only Superchargers are starting to appear
For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.
Tesla is starting to build out Robotaxi-only Superchargers as the company is truly leaning on its Full Self-Driving and autonomy efforts to solve passenger travel.
Last week, the company filed pre-permits in Arizona’s East Valley for two dedicated, non-public charging sites stocked with next-generation V4 Superchargers. The filings mark the first visible evidence of purpose-built infrastructure exclusively for autonomous Tesla vehicles, as they state they are not for public use.
In Chandler, Tesla plans to install 56 V4 stalls on an industrial parcel along South Roosevelt Avenue. Site documents describe a high-capacity setup supported by new SRP transformers, switching cabinets, and upgrades to existing underground lines.
A second site in Mesa, located at 5349 E Main Street in another industrial zone, carries the same private-use designation. Both locations sit well away from public roads and customer traffic, ensuring the chargers serve only Tesla’s internal fleet.
The sites were spotted by Supercharger observer MarcoRP.
On the same day, Tesla also submitted a draft for another proposed location in the city of Mesa, also listed as private use.
This site is located in an industrial area on the east side of the city. pic.twitter.com/jCC1IsKKKw
— MarcoRP (@MarcoRPi1) April 17, 2026
Phoenix’s East Valley offers an ideal launchpad for Robotaxi Supercharging: the location has a clean, grid-like street layout and year-round mild weather that minimizes camera degradation. Additionally, Arizona has welcomed self-driving pilots since Waymo’s early days.
By securing private depots now, Tesla can optimize charging cycles, reduce downtime, and maintain full control over vehicle hygiene and security, critical factors for high-utilization Robotaxi operations.
The type of Supercharger is telling as well, as they are V4, Tesla’s fastest and most efficient buildout.
V4 stalls deliver faster power and support bidirectional charging, features that will let idle Robotaxis feed energy back to the grid during off-peak hours. Because the sites are closed to the public, Tesla avoids congestion, vandalism risks, and the scheduling conflicts that plague shared stations.
The timing is telling. With unsupervised Full Self-Driving hardware already rolling out across the lineup and Cybercab production targets looming, Tesla is shifting from vehicle development to ecosystem readiness.
Charging infrastructure has historically been the gating factor for ride-hailing scale; building it ahead of the vehicles signals confidence that regulatory and technical hurdles are nearing resolution.
Tesla has been spotted testing Cybercab units in Arizona over the past few months, as well.
Interestingly, the permits show V4 Superchargers in the plans, although Cybercab will likely utilize wireless charging:
Tesla Cybercab spotted with interesting charging solution, stimulating discussion
For Tesla, these Robotaxi-only Superchargers represent more than convenient parking spots. They are the first bricks in a vertically integrated autonomy platform—vehicles, energy, and software working in seamless concert.
It appears Tesla is preparing to begin building out Robotaxi-only Superchargers to avoid the congestion and keep its autonomous fleet charged up to get ride-hailers to their destinations.
Elon Musk
ARK’s SpaceX IPO Guide makes a compelling case on why $1.75T may not be the ceiling
ARK Invest breaks down six reasons SpaceX’s $1.75 trillion IPO valuation may be justified.
ARK Invest, which holds SpaceX as its largest Venture Fund position at 17% of net assets, has published a detailed investor guide to why a SpaceX IPO may be grounded in a $1.75 trillion target valuation.
The financial case starts with Starlink, SpaceX’s satellite internet constellation, which has surpassed 10 million active subscribers globally as of early 2026, with 2026 revenue projected to exceed $20 billion. ARK’s research puts the total satellite connectivity market opportunity at roughly $160 billion annually at scale, and Starlink is adding customers faster than any telecom network in history. That growth alone would justify a substantial valuation.
Additionally, ARK notes that SpaceX has reduced the cost per kilogram to orbit from roughly $15,600 in 2008 to under $1,000 today through reusable Falcon 9 hardware. A fully operational Starship targeting sub-$100 per kilogram would represent a significant cost decline and open markets that do not currently exist. SpaceX executed a staggering 165 missions in 2025 and now accounts for approximately 85% of all global orbital launches. That infrastructure position took decades to build and would be nearly impossible to replicate at comparable cost.
SpaceX officially acquires xAI, merging rockets with AI expertise
The February 2026 merger with xAI added a layer to the valuation that straightforward financial models struggle to capture. ARK argues that at sub-$100 launch costs, orbital data centers could deliver compute roughly 25% cheaper than ground-based alternatives, without power grid delays, permitting friction, or land constraints. Musk has stated a goal of deploying 100 gigawatts of AI computing capacity per year from orbit.
The $1.75 trillion figure itself is not a conventional earnings multiple. At roughly 95x trailing revenue, it prices in Starlink’s adoption curve, Starship’s cost trajectory, and the orbital compute thesis together. The public S-1 prospectus, due at least 15 days before the June roadshow, will give investors their first complete look at the financials to test those assumptions. ARK’s position is that the track record earns the benefit of the doubt. Fully reusable rockets were considered unrealistic for years. Starlink was considered financially unviable. Both happened on timelines that surprised skeptics.