News
China’s HiPhi Z looks to carve its own niche in a competitive EV market (Feature)
Only the remarkable survive in China’s hyper-competitive electric vehicle sector. Amidst the price war initiated by players like Tesla, analysts have stated that some of the country’s automakers may not survive. HiPhi, a young company that has made some waves in China’s premium segment, intends to be one of the country’s prime carmakers, even after the price war.
It is then pertinent for HiPhi to ensure that its second flagship, the Z, is compelling enough that potential buyers would consider it over more established rivals. This is easier said than done. In the United States, one can see that the number of all-electric cars is steadily increasing. This situation is more pronounced in China, with 155 new battery electric and plug-in hybrid vehicles set to be unveiled this year alone.
HiPhi is headquartered in Shanghai, and the company launched in 2019 with the HiPhi X, an SUV. The X was quite successful, with the China Automotive Technology & Research Center noting that the all-electric SUV was one of the country’s best-selling premium EVs in 2021. The HiPhi Z is the company’s second vehicle, and it comes in the form of a shooting brake that’s available in both four-seat and five-seat configurations.
The Z is a pretty eye-catching car, with its aggressive lines and unashamedly futuristic exterior. But apart from its looks, it also has some bite. It features a total system power of 494 kW and 820 Nm of torque. The vehicle has an official 0-100km/h acceleration time of 3.8 seconds, which may seem underwhelming compared to some popular electric cars like the Model 3 Performance and Model S Plaid. But as per a longtime Tesla owner, the Z has some characteristics that warrant a serious look nonetheless.
Jason Man (known in the online electric vehicle community as Jay in Shanghai), has not only experienced Tesla’s lineup of electric cars. Being a longtime EV advocate, he has also tried out domestic electric vehicles like the NIO ET7, NIO ET5, and the ZEEKR 001. And in a conversation with Teslarati, he remarked that the HiPhi Z still stood out somewhat. It may not be as brutally quick as Tesla’s fastest cars, but it does offer something substantial to those who choose to get behind the wheel of the vehicle.
Jay was fortunate enough to take the Z around the track during the HiPhi Z Track Experience at Goldenport International Circuit in Beijing. Initially, attendees of the event were driven around the track by a professional driver, but they were also given the chance to take the Z around the track for a spin. HiPhi noted that it was still developing a dedicated Track Mode for the Z, but even as is, it was already quite capable around the track.
The longtime Tesla owner told Teslarati that the Z handled very well during its entire track run. It hugged the corners well, and it was surprisingly nimble despite its large size. Surprisingly enough, the Z was actually comfortable even at high speeds. Its ride was not harsh and NVH was also good.
“I was shocked at how well this car handles on the track. Even at the high speed section on the track, I felt fully in control of the car. It was very confident around the corners. I felt that the wider rear tires and active rear-wheel steering helped a lot with the handling, giving me excellent grip when cornering. This gave me the confidence to push the car to the limit,” the longtime EV owner said.
HiPhi has so far sold over 1,000 units of the Z this year, which is quite impressive considering that the vehicle itself sells for a premium at 610,000 yuan ($88,690). This hints that little by little, the company is establishing a presence in the Chinese market.
And just like leaders such as Tesla, it is only just getting its stride. As per the company in a comment to Teslarati, HiPhi’s next project is its most ambitious project yet: a five-seat family SUV called the HiPhi Y. That vehicle is poised to be more affordable, but the EV maker would have to dig deep to compete in that segment. China’s premium SUV segment, after all, is already home to another “Y” — the Tesla Model Y, which is one of the country’s best-selling premium SUVs.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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
