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Tesla points to better range and efficiency with compact power steering patent

The Tesla Model 3's minimalistic interior. (Credit: Tesla)

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Tesla’s electric cars are already among the most efficient vehicles on the market, and this is shown by the immense gap between the range and efficiency of the company’s vehicles compared to their competitors from veteran automakers. Part of the reason behind this is Tesla’s continued improvements in its vehicles, which are rolled out and adopted as soon as they are refined and ready. 

One of these improvements appears to have been teased in a recently-published patent application. Simply titled “Steering System for a Vehicle,” the document describes a smart, novel way of designing a power steering system that is more compact and less power-hungry. In the patent’s background, Tesla remarked that conventional power steering systems, which are usually hydraulically operated, are mostly bulky and space-consuming.

This is due to power steering systems utilizing a number of components that include cylinders, pumps, hoses, and control valves, to name a few. Hydraulic power steering systems also have complex designs, which add cost to a vehicle. Lastly, conventional power steering systems generally require a large amount of power to function. With this in mind, Tesla argues that there is a need for a new power steering system that is simpler, smaller, and more power-efficient. 

Illustrations showing different perspective views of Tesla’s steering system patent. (Credit: US Patent Office)

Tesla’s novel power steering design involves fewer parts than the conventional system used in most vehicles. The electric car maker describes the design in its patent in the description below. 

“The steering system includes a drive motor having a motor shaft. The steering system also includes a first gear reduction stage for receiving a first rotational input from the motor shaft and providing a first rotational output. A first gear meshes with a second gear of the first gear reduction stage via a helical gear mesh. The steering system further includes a second gear reduction stage for receiving the first rotational output from the first gear reduction stage and providing a second rotational output. 

“The second gear reduction stage may include at least one of a strain wave gearing, a worm drive, and a planetary gearing. In case the second reduction stage is a strain wave gearing, the second gear reduction stage includes an ovular coupler, a flexible coupling, an outer spline, and a plurality of bearing members disposed between the ovular coupler and the flexible coupling. The steering system includes an output shaft for receiving the second rotational output from the second gear reduction stage.”

Tesla notes that its smaller, power-saving steering system, apart from being more power-efficient and compact, also includes several failsafes, which could, in turn, increase a vehicle’s safety. The company’s patent mentions “sacrificial or failsafe components,” which are designed to safeguard a vehicle’s sensitive components during the event of a breakdown. Such a design will likely contribute to Tesla’s electric cars and their already-stellar safety ratings. 

An illustration of a steering system for a vehicle, according to certain embodiments of Tesla’s patent. (Credit: US Patent Office)

“In some embodiments, steering system 102 has been shown to provide a 10% improvement over a hydrolytic steering system. Additionally, steering system 102 is a compact unit that consumes lesser space as compared to other steering systems that are commercially available in markets. Further, steering system 102 does not require large amount of additional power for operation. FIG. 6 illustrates a failure mode of steering system 102 in which one or more bearing members 244 of steering system 102 fail. Bearing members 244 of steering system 102 are designed to withstand high loads so that they do not fail during normal vehicle operation. However, bearing members 244 may be designed to withstand only a predetermined threshold of load. As a result, bearing members 244 fail when they are loaded beyond the predetermined threshold. 

“For example, a bearing member 258 may eventually fail along a shear plane 260 when loaded beyond the predetermined threshold. Alternatively, bearing members 244 may undergo a bending failure, or any other type of failure. In such a situation, one bearing member 244 is a sacrificial or failsafe components, thereby safeguarding other components of vehicle, for example, drive motor 204 or an engine, against breakdown or seizing. More particularly, the one bearing members 244 fails, ovular coupler 238 locks and rotates with flexible coupling 240. Thus, steering system 102 can still be operated to allow vehicle to be driven for a certain distance and parked at an appropriate location. Bearing member 244 fails according to a sheer mechanism or another failure mechanism. Further, failed bearing member 258 can be replaced and vehicle can be reinstated without incurring any additional losses.”

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It remains to be seen if Tesla’s compact power steering system will be adopted for the company’s upcoming vehicles. That being said, such a system is a perfect match for EVs such as the Tesla Semi, the Tesla Pickup Truck, and the Model S and X Plaid Powertrain variants. These are all large vehicles, and their success in the market will likely be determined in no small part by their range and efficiency. In this light, every single innovation that could optimize these vehicles’ efficiency will most definitely be appreciated. After all, the less power is consumed by subsystems such as a vehicle’s power steering unit, the more power there is to turn an electric car’s wheels. 

The full text of Tesla’s compact, efficient power steering system could be accessed here.

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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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

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This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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