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Elon Musk’s Tesla Model 3 cobalt-free strategy is ushering in an LFP battery movement
About a year ago, Tesla effectively shocked the electric vehicle industry by announcing that the Made-in-China Model 3 Standard Range Plus would be using lithium iron phosphate (LFP) batteries produced by Contemporary Amperex Technology (CATL). It seemed like an unprecedented decision, considering the company’s image as a maker of fast, powerful, premium cars.
LFP batteries are cheaper to produce than NCM (nickel-cobalt-manganese) and NCA (nickel-cobalt-aluminum) batteries, but they generally have lower energy density. This meant that usually, vehicles equipped with LFP cells end up lacking in range and charging. Tesla’s move towards LFP could then be considered a gamble–one that could have resulted in drawbacks for the Model 3 in China.
Today, it seems safe to say that the Silicon Valley-based electric car maker’s gamble has been successful. Recent tweets from Elon Musk even point to the idea that LFP is the way to go for Tesla’s standard range vehicles. This was especially notable, considering that cobalt and nickel prices have been rising over the past years. And with the advent of more electric cars in the market, securing more long-term supply for raw materials is incredibly important.
True to form, Tesla’s adoption of LFP batteries was immediately felt by the greater battery market. As noted in a Mining.com report, the 55KWh LFP-battery Tesla Model 3 from China captured 5.9% of the global full electric car market in terms of battery capacity in its second full month of sales. This was despite the Made-in-China Model 3 not being sold in the United States.
Based on Adamas Intelligence data, the momentum of Tesla’s LFP-equipped Model 3 only increased from that point. Propelled further by deliveries to Europe, the LFP-battery China-made sedan comprised 46% of all Model 3 sales in January and a remarkable 32% of the battery capacity in all LFP-equipped cars globally. This trend, Adamas’ data showed, boosted LFP’s overall share in the global battery market in terms of capacity to 18.5% in January 2021.
This was a remarkable milestone for LFP batteries, considering that it only commanded 1% at the beginning of last year and 3% by June 2020. Adamas Intelligence’s Head of Data and Analytics Alla Kolesnikova noted that the momentum of LFP cells had been particularly felt in China. In 2020, the adoption of the cobalt-free batteries saw a resurgence in the market, with both veteran automakers and younger EV companies adopting the technology.
“LFP battery capacity deployed onto roads increased six-fold and we continue to see cathode manufacturers ramping up output and a growing list of the automakers in China announcing upcoming model-versions that will incorporate LFP cells. Among the more prominent are Xpeng, Seres, and VW,” Kolesnikova said.
Roskill, one of the world’s first management consultancies and a key player in critical materials supply chain intelligence, has determined that LFP cathode and precursor material manufacturing capacity is currently up 10-fold in January-February 2021 compared to the same months in 2020. A good part of this is the adoption of the batteries by notable EV players like Tesla, as well as breakthroughs in the cobalt-free batteries themselves.
Roskill analyst Kevin Gunan Shang noted that LFP batteries are looking to be an excellent fit for cell-to-pack manufacturing, which would be adopted by Tesla for its mass-market vehicles like the Model Y. The analyst also pointed to the claims of Volkswagen-backed Chinese battery manufacturer Gotion, which noted that its latest LFP battery had achieved a cell-level energy density of 210 Wh/kg, putting it on par with NCM 523.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
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 crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
