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NIO’s electric car battery swapping station looks to pick up where Tesla left off
NIO continues to push forward on battery swapping technology that’s aimed at getting its electric cars fueled up in less time than it takes to pump gasoline into a standard internal combustion engine vehicle. NIO owners can use the company’s compact battery swapping stations located in parking lots and other locations for a delay-free power supply for their vehicles. Drivers enter a swap station and wait while an autonomous robot removes a vehicle’s drained battery and replaces it with a completely charged one. With such an option available for quick access to EV power, NIO clearly intends to embrace customer convenience as part of its plan to win over its target customer base.
According to NIO’s IPO last year, this battery exchange service – called “Power Swap” – has been rolled out in nine cities around China, including Beijing and Shanghai. Plans call for 40 to 80 swap stations in place by the end of December. The company announced the completion of its battery swap network along the Chinese G2 Expressway (from Beijing to Shanghai) in early January this year.
NIO is offering a subscription model that’s priced at $200 per month wherein customers can utilize company-provided batteries rather than owning the actual battery that’s attached to their vehicle. If a customer doesn’t own the battery, swapping it out is a mere formality rather than a question of whether their replacement battery is the same quality as the one given up after purchase.
Despite its advantages, NIO’s battery swap plan has given investors pause, and for good reason. This style of recharging concept has gained some closet skeletons in the recent past, particularly via Better Place, the Israeli-based electric car company that gained a pie-in-the-sky reputation trying to become what Tesla ultimately became but went bankrupt instead. Better Place was known for its swap stations, thus wrapping the entire autonomous recharging solution in with Better Place’s downfall, fair or not. The current environment for EVs might change investors’ tune in the near future, though, especially given NIO’s native country’s push for companies just like theirs to exist.
NIO and other electric companies have a unique position with the Chinese government that may help them succeed where others have struggled or failed. Namely, government-driven subsidies and charging infrastructure investments have been offered to China’s customers to encourage the speedy production and expansion of electric car presence. This direct support could be key to NIO’s ability to scale up and profit from its battery swapping business. That, and Tesla’s incredible impact on the demand for electric vehicles and proven ability to implement battery charging networks to ease range anxiety deserves a significant effort.
Tesla has given its own attempt at battery swapping a shot after first demonstrating the capability shortly after Better Place closed up shop. A battery swapping station opened up near the Harris Ranch Supercharger station in Coalinga, CA with appointments available beginning in 2014 as a pilot program. The station appeared to be closed as of 2016, however, and Tesla has only shown an interest in offering the service again via a 2017 patent application for a battery swapping technology after investing its primary resources into developing its Supercharger network. Tesla’s application received a Notice of Allowance for this application from the US Patent and Trademark Office on February 6, 2019, meaning the company has continued to pursue the technology rights and the full patent should issue soon.
NIO opened its doors in 2014 and currently offers two all-electric production vehicles: the ES6 and ES8, both SUVs. Dubbed the “Tesla of China”, the startup successfully delivered 10,000 made-to-order vehicles last year and has made overtaking Tesla in China one of its major goals. Significant investments have been made into branding NIO as a lifestyle company, including exclusive owner clubs and social network opportunities along with customer convenience offerings like the battery swap stations, mobile power vans, and app-based services similar to those offered by Tesla. It remains to be seen whether NIO can successfully revive the battery swap concept, but considering the brave new world of EVs that did not exist a mere few years ago, their hopes certainly don’t seem to be too far fetched.
Watch the below video to see NIO’s battery swapping tech in action:
https://www.youtube.com/watch?v=rmTePwW5HOQ&feature=youtu.be
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
