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Tesla engineers share Model 3 steering, drivetrain, and suspension secrets

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The Tesla Model 3 is practically taking over the electric car market, establishing a strong presence in every region where it is released. A key reason behind this lies in the fact that the Model 3 happens to be a really fine automobile that just happens to be electric. It’s quick on its feet, handles nimbly despite its weight, and it provides a ride that is both sporty and comfortable.

One of the UK’s most established motoring magazines, Autocar, spoke with a number of Tesla engineers to gain some insights on the design and development process of the Model 3. The result was an extensive discussion in how a clean-sheet design and a serious commitment to safety could make all the difference when creating a car that is, for all intents and purposes, intended to reinvent the automobile. 

Tires

Immediately emphasized by the Tesla engineers was that the Model 3’s chassis and suspension were designed using a ‘first principles’ clean-sheet approach. This started with the Model 3’s tires, which the engineers fondly described as the “unsung heroes” of the vehicle, being critical to its feel and drivability. The development of the Model 3’s tires began back in 2015, when Tesla started working with manufacturers to create the ideal tires for the electric sedan. 

The engineers noted that the tires of a high-performance electric car like the Model 3 are challenged in different ways compared to gas-powered automobiles. This is due to a number of factors, including the vehicle’s weight and its instant torque. Since the bulk of an EV’s mass is situated lower down compared to a vehicle with an internal combustion engine, there is less vertical force buildup on the outside pair of tires to generate grip when cornering. 

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To address this, Tesla focused on tread stiffness, even developing new compounds to deliver a good combination of cornering grip and low rolling resistance for the Model 3’s tires. Sound-absorbing foam placed inside the tire cavity further increases comfort during driving by suppressing noise. The Model 3’s rear wheels hold some interesting secrets as well. The engineers revealed that each rear wheel of the electric sedan has six degrees of freedom, with five links and one damper, though the links are split to allow superior control over forces that are transmitted through the vehicle’s tire contact patch. 

(Photo: Andres GE)

Safety Systems and Steering

The Model 3 has earned a perfect 5-Star Safety Rating from the NHTSA, the Euro-NCAP, and the ANCAP. This comes as no surprise, considering that the vehicle is designed from the ground up to emphasize safety. The Model 3’s front suspension, for example, was specifically designed to provide maximum protection in small-overlap frontal collision crash tests.

Sacrificial links that are designed to snap when the front wheel and suspension get damaged are also integrated into the vehicle, allowing the Model 3’s front wheels to rotate. This moves the front wheels outside the Model 3’s body, while pushing the car, its occupants, and its battery pack from the point of impact. These safety systems extend to the Model 3’s dual-motor AWD variants as well. 

Tesla designed the Model 3’s electric power steering system to have a rapid 10:1 ratio. The power steering is equipped with full redundancy with separate power feeds taken directly from the vehicle’s high-voltage battery. The engineers also mentioned two electronic modules and two inverters providing “hot backup” to the system if one fails. 

Brakes

The Model 3’s braking system is quite unique, in the way that Tesla opted to equip the electric sedan with more expensive four-pot brake calipers at the front wheels instead of a single-piston sliding mechanism. This gives the Model 3 superior pedal response, and it opened the door for the electric car maker to design its own piston seals that fully retract the brake pads after braking; thus, boosting available driving range and cutting drag. Such a system adds to the Model 3’s efficiency, which has proven superior to other premium electric vehicles like the Audi e-tron and the Jaguar I-PACE. 

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Elon Musk has mentioned multiple times in the past that brake pads in a Tesla will last for the lifetime of a vehicle. This is no exaggeration, according to the Tesla engineers, who noted that the Model 3’s discs and brake pads are designed to last for around 150,000 miles. This is made possible by the Model 3’s regenerative braking system, which allows drivers to slow down the vehicle without using its physical brakes. As for rust issues, the engineers pointed out that Tesla has developed new anti-corrosion techniques for its electric cars. 

(Credit: Autocar)

Suspension

Perhaps the most interesting tidbit discussed by the Tesla engineers involved the Model 3’s suspension. In true Elon Musk fashion, Tesla actually used concepts from NASA when it was refining the suspension settings of the electric sedan. The electric car maker based the Model 3’s suspension settings on a study by the space agency about how long the human body can be subjected to a certain frequency without feeling uncomfortable. Considering that the vertical frequency of a suspension’s movement affects comfort and drivability, Tesla engineers settled on a vertical frequency that is equivalent to a brisk walk or a slow run to give the Model 3’s chassis a comfortable, sporty feel. 

The Model 3’s suspension has impressed a number of industry experts, among them being automotive veteran and teardown expert Sandy Munro of Munro and Associates. During his teardown of the vehicle, Munro noted that the Model 3 has areas of improvement in its body and finish, but everything from the electric car’s suspension, all the way down to its tires, is flawless. In a segment on YouTube’s Autoline TV, Munro mentioned that the person who tuned the Model 3’s suspension could easily be an “F1 Prince.”

During the electric car maker’s second-quarter earnings call, Elon Musk mentioned that the “story for Tesla’s future is fundamentally Model 3 and Model Y.” While the Model S and Model X were made to prove that electric vehicles could be superior alternatives to gas-powered premium sedans and SUVs, the more affordable Model 3 — and in extension, the Model Y — would likely be the cars that could reinvent the automobile and encourage mass-market car buyers to rethink what a vehicle could be like. Based on the Model 3’s success so far, it appears that Tesla is so far succeeding in this endeavor.

H/T to JPR007.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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SpaceX is following in Tesla’s footsteps in a way nobody expected

In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.

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Credit: Grok

When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.

Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.

Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.

Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.

The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”

The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.

Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.

SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.

Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.

This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.

The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.

Just yesterday, on April 21, SpaceX doubled down.

It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.

Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.

Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.

Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.

Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.

SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.

Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.

Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.

In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.

The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.

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