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Tesla patent points to battery cell improvements with clever deformation detection process
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.
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.”
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.”
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.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
