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Tesla’s ‘rotor geometry’ patent hints at more efficient electric motors
Tesla has invented a technique for increasing its all-electric vehicles’ power and torque by simply adjusting the shape of some of its electric motor’s components.
A recently published US patent application titled “Geometry of Rotor End Ring and Stator End Turns” describes how Tesla accomplishes this. According to the application, certain internal parts of an electric motor can be modified to reduce power losses from leaks in the magnetic field that effectively make the motor smaller.
The primary components of electric motors – the rotor and the stator – together generate the motion used to operate a vehicle. Simply, a magnetic field produced by electricity running through copper wires in the stator cause the magnetized bars of the rotor to spin. However, when the motor is operating at high speed, some of the electromagnetic force is lost, reducing the motor’s power.
Tesla has identified two places where this loss can be reduced – the end parts of the stator and rotor. The copper wiring in these parts is wrapped around cutout shapes, and after some testing, Tesla’s engineers learned that different shapes give different results. Per the application, “geometries for rotor end ring and stator end turns can be chosen in a way that improves performance or other characteristics of the motor.”
Overall, electric current flow becomes concentrated in different spots on the motor depending on the ‘geometry’ of these parts, thus an opportunity to limit any losses has presented itself by controlling where the concentrations happen. Tesla has filed this application to protect the process (‘method’) of building a motor with the geometry knowledge made part of the design and testing.
The process is described in the application’s Abstract as follows:
“A method of making an AC induction motor includes: providing a rotor and a stator for the AC induction motor; determining, for different geometries of an end ring of the rotor, a location of a first centroid of current density in the end ring; determining, for end turns of the stator, a location of a second centroid of current density in the end turns; selecting a geometry for at least the endring of the rotor so that an axial distance between the first centroid of current density and the second centroid of current density is minimized; and assembling the AC induction motor, wherein the end turns and the end ring have the selected geometries.”
Although the publication was only recently available to the public, this application is related to another patent that was filed in 2015, meaning that Tesla is likely already implementing the findings and invention into their manufacturing process. This is rather unsurprising considering the company’s tendency to constantly improve its vehicles’ components as soon as the upgrades are available. Elon Musk himself has mentioned this on Twitter, stating that Tesla’s electric cars are “partially upgraded every month as soon as a new subsystem is ready for production.” This was also highlighted by President of Automotive Jerome Guillen last December, when he highlighted that the designs of Tesla’s batteries are always evolving.
Automotive teardown expert Sandy Munro concluded following a thorough analysis of an early-production Model 3 that the vehicle’s electric motors are among the best in the industry today. In an appearance at YouTube’s Autoline TV, Munro noted that the Model 3’s electric motors are more efficient and more cost-effective than the motors found in the Chevy Bolt EV and the BMW i3. “They’ve got magic. The electric motor is smaller and lighter than everybody else, but outperforms everybody,” Munro said.
The full text of Tesla’s “Geometry of Rotor End Ring and Stator End Turns” patent can be accessed here.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
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.
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.
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.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
