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Tesla’s damage monitoring patent hints at cars driving to repair centers autonomously

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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.

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Tesla’s recently published patent application outlines a proactive for detecting damages. (Photo: US Patent Office)

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.”

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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.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk says xAI has a chance to reach AGI with Grok 5

The comment came after Grok 4 posted strong results on the ARC-AGI benchmark.

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(Credit: xAI)

Elon Musk suggested this week that his artificial intelligence startup xAI has the potential to reach artificial general intelligence (AGI) with the next version of its large language model, Grok 5. 

The comment came after Grok 4 posted strong results on the ARC-AGI benchmark, which tests reasoning and problem-solving ability.

Musk sees Grok 5 as AGI candidate

In a post on X, user @amXFreeze shared the latest results of the ARC-AGI leaderboard, which showed Grok 4 outpacing rival systems such as OpenAI’s ChatGPT in problem-solving and open program synthesis tasks. 

Musk reacted to the performance by stating that “I now think xAI has a chance of reaching AGI with Grok 5. Never thought that before.” 

Artificial General Intelligence (AGI) refers to an AI system that is capable of matching or surpassing human-level intelligence across tasks such as thinking, reasoning, and other domains by a notable margin, as noted in a report from Benzinga. AI companies today are actively pursuing AGI.

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xAI’s speed 

While xAI was only established in March 2023, the startup has grown aggressively. Since its founding, it has rapidly risen in the AI segment and its Grok large language model has become a mainstream option for everyday users, especially on social media platform X. The company is still growing aggressively, and it is currently expanding its Colossus supercomputer cluster in Memphis. 

During xAI’s Engineering Open House event in San Francisco in its early days, Elon Musk highlighted that speed would be the company’s primary competitive edge. To highlight this, Musk stated that “No SR-71 Blackbird was ever shot down and it only had one strategy: to accelerate.” So far, xAI is definitely playing this role very well. 

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Tesla lands new partnership with Uber as Semi takes center stage

Tesla and Uber will work together, using the company’s all-electric Semi, to make sustainable Class 8 electric trucks more affordable with three main strategies: Subsidized Pricing, Predictable Growth, and Optimization of Utilization.

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Credit: Uber

The Tesla Semi has led to a new partnership between the company and Uber, as the two are launching a program that aims to revolutionize logistics by making sustainable commercial vehicles more accessible.

Uber announced on Tuesday that it was planning to launch the Dedicated EV Fleet Accelerator Program in a new partnership with Tesla. Uber’s Freight division is mainly responsible for the new program, which it calls a “first-of-its-kind buyer’s program designed to make electric freight more affordable and accessible by addressing key adoption barriers.”

Tesla and Uber will work together, using the company’s all-electric Semi, to make sustainable Class 8 electric trucks more affordable with three main strategies: Subsidized Pricing, Predictable Growth, and Optimization of Utilization.

  • Subsidized Price: Fleets purchasing Tesla Semis through this program will receive a subsidy on the purchase price.   
  • Predictable Growth: Fleets will integrate their Tesla Semis into Uber Freight’s dedicated solutions for shippers for a pre-determined period. This creates an opportunity for carriers to forecast revenue with confidence, while shippers gain consistent access to reliable, zero-emission capacity. 
  • Optimize Utilization: Uber Freight taps into its extensive freight network to match carriers with consistent, high-quality freight from our strong shipper base—helping ensure the addition of these Tesla Semis stay fully utilized and carriers see dedicated, real, measurable returns from the start

Tesla will work directly with interested companies to iron out technical details about the Semi, as well as its cost of ownership based on the tailored needs of their business. Fleets can expect savings on the first day, Uber says, as they will avoid diesel fuel costs and reduced maintenance, a widely known advantage of EVs.

Uber announced that it had partnered with select carriers to pilot the Dedicated EV Fleet Accelerator Program prior to its launch:

“During the 2-month pilot program, the Tesla Semis showcased both reliability and efficiency for Uber Freight’s shipper network. Over 394 hours of drive time, carriers covered 12,377 miles. With an average net energy consumption of just 1.72 kWh per mile and only 60 hours of total charge time, these results highlight the operational viability of Tesla Semis on demanding freight lanes. “

In its press release launching the program, Uber effectively highlights how the use of the Semi can impact a company’s margins and profitability through fuel savings, reduced maintenance costs, and lower total cost of ownership.

This is something that turns so many people away from gas cars and toward EVs, so it’s no surprise that Uber wanted to emphasize this point on a larger scale with a company that utilizes a fleet of vehicles.

Tesla Semi shows strong results in ArcBest’s real-world freight trial

Tesla has been experimenting with a select group of companies, as well. It partnered with PepsiCo. several years ago, in an effort to launch a pilot program for the Semi. It had excellent results, showing higher efficiency, lower costs, and an exceptional ability to handle long runs.

Drivers have had a lot of positive things to say:

Tesla Semi earns strong reviews from veteran truckers

The Semi will enter mass production next year, but we anticipate that some companies will commit to Uber’s new platform well before then.

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Tesla recalls Powerwall 2 units in Australia

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(Credit: nathanwoodgc /Instagram)

Tesla will recall Powerwall 2 units in Australia after a handful of property owners reported fires that caused “minor property damage.” The fires were attributed to cells used by Tesla in the Powerwall 2.

Tesla Powerwall is a battery storage unit that retains energy from solar panels and is used by homeowners and businesses to maintain power in the event of an outage. It also helps alleviate the need to rely on the grid, which can help stabilize power locally.

Powerwall owners can also enroll in the Virtual Power Plant (VPP) program, which allows them to sell energy back to the grid, helping to reduce energy bills. Tesla revealed last year that over 100,000 Powerwalls were participating in the program.

Tesla announces 100k Powerwalls are participating in Virtual Power Plants

The Australia Competition and Consumer Commission said in a filing that it received several reports from owners of fires that led to minor damage. The Australian government agency did not disclose the number of units impacted by the recall.

The issue is related to the cells, which Tesla sources from a third-party company.

Anyone whose Powerwall 2 unit is impacted by the recall will be notified through the Tesla app, the company said.

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