Connect with us

News

Tesla patent points to battery cell improvements with clever deformation detection process

Tesla's 2170 battery cells. (Credit: Tesla)

Published

on

A recent patent published late August has revealed that Tesla is working on a monitoring system and apparatus that will allow the electric car maker to detect deformations in battery cells in a more effective manner. 

Tesla’s patent application, titled “Apparatus and Method for Detection of Deformation in Battery Cells,” notes that battery cycle life is among the most crucial parameters to ensure optimal performance in machines such as electric vehicles and energy storage devices. Over the course of their lifetime, battery cells will be subjected to multiple charge and discharge cycles, at times in vastly varying conditions and environments.  

As noted by the company in its patent application, there are instances when cells operate in an environment where the ambient temperature may intermittently surge to levels above the stable thermal temperature for normal operations. Cells could also be subjected to high charge and discharge rates and large periodic loads, which could result in significant heating, among other reactions. 

Subjected to these factors, battery cells could experience several effects, such as the thickening of electrodes or the volume expansion of electrochemically active materials within the cell itself. These expansions could ultimately result in cells experiencing deformation, which could, in turn, result in both reversible and irreversible mechanical strain, as well as the potential degradation of the battery’s electrodes. 

An illustration depicting Tesla’s apparatus and method for detecting deformations in battery cells. (Credit: US Patent Office)

These battery cell deformations are traditionally monitored using strain gauges or optical gauges that exclusively detect and evaluate deformations at single points in a cell. Tesla noted that this system has space for improvements, since optical evaluations might not provide the correct status of deformation across the entire surface of a battery. This could result in strain and deformation measurements that are inaccurate. 

With these factors in mind, Tesla has come up with a deformation detection apparatus that enables the contactless detection of deformations and/or swelling of the battery across the entire surface of the cell itself. Tesla describes the deformation detection apparatus as follows. 

“A deformation detection apparatus includes a cell movement-control assembly to handle a linear motion and a rotational motion of a battery cell, a body that supports the cell movement-control assembly, a digital micrometer, and control circuitry. The control circuitry controls a displacement of the battery cell between a first position and a second position along a longitudinal axis through a scanning region of the digital micrometer and a plurality of rotational positions of the battery cell at a plurality of charge states and a plurality of discharge states. The control circuitry measures a plurality of outer diameter values of the battery cell for a plurality of linear positions and a plurality of rotational positions along the longitudinal axis of the battery cell and determines a change in a geometrical shape (deformation and/or strain) of the battery cell for the plurality of linear positions and the plurality of rotational positions.”

An illustration depicting Tesla’s apparatus and method for detecting deformations in battery cells. (Credit: US Patent Office)

According to the electric car maker, the battery cell deformation monitoring process outlined in its patent will provide advantages over traditional monitoring methods. 

“The disclosed apparatus, such as the apparatus 100 and method of determination of deformations in the battery cell 112 advantageously provides a contactless solution for deformation detection in the battery cells, as compared to conventional contact-based solutions. Further, instead of measuring the plurality of outer diameter values/strain values at a specific point in time, the disclosed apparatus 100 advantageously facilitates measurement of the plurality of outer diameter values/strain values at a plurality of points on the battery cell 112. The apparatus 100 enables detection of localized/non-localized deformation regions on the battery cell 112, which may exhibit signs of deformation at different charge/discharge states at different points in time.”

Advertisement
-
-

Tesla’s recently published patent application for its new battery cell deformation detection apparatus could be accessed in full here

The implications of Tesla’s recent patent are notable. By adopting its deformation detection system, the company would be able to evaluate the quality of its cells and their operating limits more effectively. This could open the doors to improvements in the company’s batteries, which could, in turn, result in even more range and performance for Tesla’s electric vehicles. 

Tesla holds a notable lead among automakers in terms of battery technology, as exhibited by the company’s electric vehicles’ vastly superior range compared to the competition. This is represented by Tesla’s recent “Raven” update to the 100 kWh Model X, which allowed the SUV to travel 325 miles in one charge. This is notably impressive, considering that the Audi e-tron, a smaller, lighter vehicle equipped with a 95 kWh battery pack (5% smaller than the Model X), is only EPA-rated for 204 miles per charge (38% less range than Tesla’s larger, heavier vehicle). A report from German business newspaper Wirtschaftswoche has also determined that Tesla’s batteries for the Model 3 have over four times less cobalt compared to the batteries utilized by Volkswagen today.

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.

Advertisement
Comments

Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

Published

on

By

Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

Continue Reading

News

Autonomous vehicle red tape gets slashed by Trump Administration

Published

on

Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

Continue Reading

Elon Musk

Elon Musk has a crazy prediction about AI in two years

Published

on

Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

Continue Reading