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SpaceX is installing Tesla battery packs on its Starship MK1 rocket prototype
First noticed by NASASpaceflight.com forum member “exilon”, SpaceX appears to have selected off-the-shelf Tesla battery packs as the power storage method of choice for its Starship Mk1 prototype, currently in the midst of a busy period of integration
Potentially taken directly from Tesla Model S/X powertrains otherwise headed for recycling, SpaceX technicians have spent the last 24 or so hours attaching numerous battery packs to part of a Starship subsystem known as header tanks. This is the latest addition to SpaceX and Tesla’s relatively close relationship – the two have begun to work together to solve challenges with materials science, batteries, and more within the last 12-24 months.
While initially surprising, the appearance of battery packs quite literally taken from Tesla Model S/X vehicles or their Gigafactory assembly line actually makes a lot of sense. By using prepackaged, off-the-shelf battery systems with industry-leading power management capabilities, SpaceX is probably saving a huge amount of time, money, and effort. If the battery packs were already nearing the end of their useful automotive lives, the net cost could very well approach zero, aside from what looks like a minimal mounting brace. It’s possible that SpaceX has even pursued modifying and certifying large Tesla-derived battery packs for use on orbital Starship missions.
These battery packs were spotted by an eagle-eyed forum user who was first to recognize the hardware for what it likely was. Per the above photo, SpaceX appears to have joined two self-contained Tesla battery packs into single units that were then installed on a header tank. Knowing that the highest capacity Tesla offers is ~100 kWh, the 2×2 packs could store up to 400 kWh and offer instantaneous power output (ignoring thermal limitations) well into the megawatt (MW) range. It’s unclear if the first header tank also had batteries attached but SpaceX technicians began installing that tank inside Starship’s nose cone on the evening September 22nd. Tank #2 will likely follow in the next 24 hours per Musk’s indication that Starship Mk1 would be stacked to its full height on Wednesday.
For unknown reasons, SpaceX is choosing to mount the ~1000 kg (2200 lb) battery pack pairs directly onto the outside of one of Starship Mk1’s two header tanks. These tanks compliment the rocket prototype’s main propellant tanks and are meant to serve as small reserves of fuel (methane) and oxidizer (oxygen) that can be pressurized independently. During dramatic in-space and in-atmosphere maneuvers, the g-forces exerted on Starship could easily find the vehicle’s propellant pushed away from the ‘bottom’ of its main tanks, creating bubbles or voids that can damage and destroy rocket engines if ingested.
Pressurizing the entirety of the main tanks (a cylinder measuring 9m by ~40m or 30×130 ft) is extremely impractical – hence the need for much smaller header tanks. Falcon 9 boosters are able to sidestep this issue because they are small and light enough (relatively speaking) that cold gas thrusters can efficiently generate the positive Gs needed to safely ignite its engines for recovery and landing maneuvers. Empty, Starship alone will likely weigh no less than 4-6 times as much as a Falcon 9 booster (~25 tons, 55,000 lb).
According to CEO Elon Musk, SpaceX has decided to install those header tanks in the very tip of Starship Mk1’s conical nose to help balance out the vehicle’s center of mass. As a side-effect, SpaceX will have to install feed lines that run the entire length of the spacecraft and protect them with steel aero-covers. It’s unclear if this design choice is necessitated by Starship’s early, prototypical form or if – once outfitted with crew quarters or a functional cargo bay – it’s possible that that added mass will serve as enough of a counterbalance to preclude the need for ballast in the nose.
Musk posted a view inside an adjacent SpaceX fabrication facility in Boca Chica on September 23rd, showing a large row of staged steel sheets that will eventually be formed into aerodynamic shrouds for Starship Mk1’s raceways, fins, and wings.
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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
