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NIO ET7 audio system reveals how important software will be in future vehicles [Editorial]
NIO went the extra mile—and then some—when it conceptualized the audio system for the ET7. The NIO ET7 has 23 speakers powered by Swedish digital audio pioneer Dirac’s Opteo Professional audio software and Dolby Atmos technology.
NIO and Dirac’s work on the ET7’s audio system reveals the changing design of the car’s cabin and the role software plays in its redesign.
The NIO ET7’s Sound
Every automaker has a specific sound they would like their passengers to enjoy in their vehicles. NIO also has a particular sound target, and for the ET7, the Chinese automaker wanted it to come through crystal clear.
NIO worked closely with Dirac to create its sound. The NIO ET7’s official online page states that the four-seater car has 23 speakers, four overhead speakers, and a subwoofer. It also has a 20-channel amplifier and comes standard with Dolby Atmos Technology.
NIO didn’t just add lots of speakers to the ET7, though. The China-based automaker together with Dirac were meticulous and intentional with the ET7’s audio system.
Redefining the Cabin
Audio experts must consider the environment the sound will be played in, making it challenging to work with vehicles. Lars Carlsson, the Head of Business Development Automotive Audio and Vice President at Dirac, told Teslarati that audio experts have to consider many things when creating the perfect sound inside a vehicle. They have to consider the number and position of the speakers and the number of seats in the vehicle. Audio experts must also consider how sound reflects on the cabin’s different surfaces and windows.
Each speaker output in the NIO ET7 was measured with 16 microphones, positioned in each seat for a total of 64 measurement positions in the cabin. The measured data gave Dirac a good overview of the acoustic performance of the car’s cabin and creates the base for Dirac’s patented algorithms to optimize the sound.
“We base everything on measurements and data. Our process really saves audio engineers a lot of time. They can tune on their computer instead of spending weeks in the car,” Carlsson said.
After measuring the cabin, Dirac used algorithms to “derive the optimum solution” for its sound field control technology. With sound field control, Dirac created “super speakers” for the ET7. Typically, there are three speakers in a car door: low frequency, mid-range frequency, and a tweeter for the high frequency. Dirac uses sound field control to digitally align the speakers, making them collaborate to realize one full, quality sound.
“In addition our algorithm lets the speakers in the cabin and the subwoofer collaborate to create an even sound field in the car, which means we can actually create an equal audio experience in every seat. You get the voice right in front of you and a good imaging and a very even bass distribution and tight bass,” explained Carlsson.
Software’s Critical Role in Future Vehicles
Software is playing an increasingly important role in the auto industry as automotive OEMs and startups reconceptualize the idea of the vehicle. Now, automakers are reimagining the use of the car cabin as more vehicles integrate autonomous software.
Software lies at the center of redesigning the cabin space for passenger activities. Many automakers have started investing in software for their vehicles. For instance, Volkswagen invested €2 billion in a joint venture with China-based Horizon Robotics. And Stellantis launched a software development center in India recently.
Audio, in particular, is beginning to play a more significant role in the cabin as automakers introduce more types of media for passengers to enjoy while on the road. Electric cars coming out on the market have fun new features now, like karaoke, videos, games, and more which rely heavily on audio systems. However, it is autonomy that drives the cabin’s redesign.
“We have an enormous interest for our solutions because audio is getting more and more important in the car. This is true for electric cars because it’s a quieter environment but also when looking into autonomous cars, where maybe you’ll be working in your car, you’ll be listening to music, you’ll be watching videos, you’ll have maybe rotating seats,” said Carlsson.
“There’s a lot of challenges also coming ahead, but I would say that Dirac is very well equipped for future challenges because software for anything in the cars is key,” he added.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
