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Tesla’s 1 million-mile battery takes a step forward with new electrode patent
A newly released patent from Tesla has teased what appears to be a step towards Elon Musk’s one-million-mile battery target. The patent describes a new lithiation process for battery cells, which has the potential to improve the quality of cells and possibly even save on costs.
Tesla has submitted a patent titled “Method for Synthesizing Nickel-Cobalt-Aluminum Electrodes.” The document outlines a new electrode synthesizing method that could be used for battery cell production. The proposed application defines an efficient heating process for Nickel-Cobalt-Aluminum (NCA) electrodes. According to the document, previous heating methods at times cause the formation of a lithium substrate known as L15AIO4, which is an impurity. Lowering the amount of lithium within a battery reduces the presence of the contamination, but also leads to “materials with inferior electrochemical properties.”
As noted in the patent, batteries would heat to a temperature high enough to allow for single crystal growth. The revised ratio of lithium to other metals would limit the formation of impurities during the first heating process. Then, the battery would be heated a second time at a temperature lower than the first heating cycle. Researchers involved in the patent noted that this process helped develop an impurity-free single crystal NCA that allowed battery cells to achieve over 4,000 charge cycles.
The patent outlines the heating process:
“Methods disclosed herein include a first lithiation step, wherein a lithium and an other metal component are present in a first lithium/other metal ratio of less than 1.0 and are sintered at a temperature between 800 and 950°C for a time period between 1 and 24 hours to obtain a first lithiated material. The method further includes a second lithiation step, wherein a lithium and a other metal component are present in a second lithium/other metal ratio and further wherein the first lithiated electrode material is sintered with additional LiOHTLO at between 650 and 760°C for a time period between 1 and 24 hours to obtain a second lithiated material.”
In summary, the use of NCA electrodes in batteries would allow for single-crystal materials to present themselves without impurities. The lack of contaminants could lead to an increased lifespan of the cells altogether, helping Tesla take a giant leap forward in its quest to produce a one-million-mile battery for its vehicles.
Interestingly enough, one of the listed names on the patent is battery expert and researcher Jeff Dahn, who has worked with Tesla in the past. Tesla summoned the help of Dahn, who leads a team of researchers at Canada’s Dalhousie University, to help the electric car maker improve its batteries. Dahn’s research has helped Tesla’s development of high-quality battery cells by inventing new electrode combinations, like the one described in this patent, and electrolyte solutions aimed at further increasing battery life.
Tesla’s batteries are always in a state of improvement, and over the years, the cells that the company utilizes for its vehicles and energy storage systems have gotten more energy-dense. Economies of scale that is made possible with facilities such as Gigafactory Nevada have also gone a long way towards helping Tesla near the $100 per kWh mark, a level that is widely considered the point where electric vehicles could achieve price parity with their internal combustion-powered counterparts.
Apart from its battery patents, Tesla has also been busy acquiring several battery companies. Among these are Maxwell Technologies and Hibar Systems, both of which were developing technologies that would allow for better battery quality and more efficient production costs. Relatively simple developments such as those described in Tesla’s recent patent help this cause too, especially since every little bit of optimization helps.
Tesla’s development of its battery technology could lead to its vehicles lasting 20 to 30 years, far longer than petrol-powered cars. It appears the company is planning to create a product line that could stay with owners for extended periods with relatively no annual maintenance. And that, together with price parity, can very well be the catalyst for society’s acceleration towards sustainability.
The full text of Tesla’s “Method for Synthesizing Nickel-Cobalt-Aluminum Electrodes” patent could be accessed in the document below.
METHOD FOR SYNTHESIZING NIC… by Joey Klender on Scribd
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe
Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.
The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility.
Intensive crash tests
As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays.
Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads.
Prioritizing safety
With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.
Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
