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Porsche reveals Taycan specs: 310-mile range, ultra-fast charge 800V battery
Porsche dubs the Taycan, formerly known as the Mission E sedan, as one of its most important vehicles since the iconic Porsche 911. The upcoming all-electric, high-performance luxury sedan is expected to compete with some of the electric vehicle market’s most formidable mainstays, such as the Tesla Model S. With a drive unit developed from Porsche’s racing pedigree and battery tech that enables ultra-high-speed charging, the Taycan is set to make an impact when it starts production next year.
The auto market is starting a shift towards electric mobility, and the Taycan will be Porsche’s flag bearer for the next few years. By 2025, the legacy automaker is aiming for “every second Porsche sold to have an electric drive unit,” meaning half of its offerings would be fully electric and the other half will be plug-in hybrids. The Taycan is projected to hit a production rate of 20,000 vehicles per year, translating to roughly 67% of the current sales figures of the Porsche 911.
The Taycan is equipped with two permanently excited synchronous motors (PSM) that produce a combined 600 hp (440 kW). Porsche’s PSM motors were used by the company in the 919 Hybrid, a sports-prototype racing car that won the 24 Hours of Le Mans in the event’s Prototype-1 Hybrid (LMP1-H) category. The carmaker states that PSM electric motors are the “turbos of the electric motor milieu,” considering their capability to boast high sustained performance while maintaining maximum efficiency. Naser Abu Daqqa, director of electric drive systems at Porsche, described one of the strategies employed by the company to maximize the performance of the Taycan’s electric motors.
“The coils are made of wires that aren’t round, but rather rectangular. This makes it possible to pack the wires more tightly and get more copper into the coil machines—increasing power and torque with the same volume,” Abu Daqqa said.
Porsche’s battery unit for the Taycan is estimated to give the all-electric car a range of 310 miles per charge. In a press release, Porsche stated that lithium-ion batteries are utilized for the all-electric sedan’s battery pack. The Taycan is equipped with an 800-volt battery, comprised of cells that hold 4 volts each.
The Taycan’s battery unit prioritizes speed over weight. Instead of installing heavy batteries, Porsche opted to employ ultra-fast charging solutions instead, using an intelligent charging protocol and a heat exchanger system that can get the vehicles’ batteries up to operating temperature quickly and cooling them when needed. Due to its battery’s design, Porsche was able to use thinner cables on the vehicle as well, allowing the company to save even more weight.
The Taycan’s fast-charging system aims to add 248.5 miles worth of range in roughly 15 minutes. Dubbed the IONITY network, the ultra-fast-charging system is a joint venture with other automakers such as the BMW Group, Daimler AG, the Ford Motor Company, and the Volkswagen Group with Audi. IONITY’s chargers have a capacity of up to 350 kW per charging point, far above Tesla’s 120 kW Supercharger network. Porsche is exploring home charging solutions as well, including inductive charging via a base plate installed on a garage floor. Lastly, the Taycan will also be compatible with existing charging infrastructure in major cities.
As Porsche prepares to start manufacturing the vehicle next year, the company is currently hard at work testing prototypes of the electric car in several regions across the globe. In the western part of South Africa alone, 21 camouflaged Taycan prototypes are currently being deployed to test how the all-electric cars fare in hot weather. By the time the Taycan starts production in 2019, Porsche expects its test vehicles to have accumulated millions of kilometers worth of data from road tests.
The Taycan is expected to showcase Porsche’s trademark performance, with the vehicle being listed with a 0-60 mph time of 3.5 seconds, a range of 310 miles per charge, and a top speed of 155 mph. Pre-orders for the Taycan were recently opened to interested buyers and so far, Porsche has noted that the reception to the car has been very positive.
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
