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Tesla patent paves way for compact battery systems that are easier to produce
Tesla’s use of batteries for its electric vehicles are crucial to their function. The company’s battery systems are the industry standard as they offer more range and density than their competitors. But despite this lead, a recently submitted patent for an aggregated battery system could put Tesla’s batteries head-and-shoulders above the rest of the pack, bar none.
While Tesla’s current battery system is top of the line, it could still be more cost-effective. Batteries themselves cost a lot to manufacture for Tesla, and not to mention, a lot to replace for an owner. The aim of the company’s newly submitted patent is to create a more efficient system that would simplify the entire battery component by combining the multiple battery systems into one single module.
Small battery cells are more advantageous than large battery cells for a number of reasons, including time, safety, thermal management and production of energy. All of these factors would highlight the advantages of small battery systems and would allow for an increase in the productivity of battery cells. The smaller cells means “a shorter length of electrode material that is devoid of material defects would be required.”
The new system would arrange the battery cells in an upright manner. The multiple cells would then function with one another by being connected to a series of collector plates with tabs on both the positive and negative ends of the battery. The tabs would then be connected to a positive or negative terminal of the battery cell. This would be done with multiple series of batteries that all have different responsibilities throughout the vehicle. They would all, however, be housed within a single battery container, allowing engineers or service workers easy access to each battery system.
The addition of this new patent could help reduce costs by utilizing smaller battery cells in battery systems. The patent states that while production will increase due to the reduced size and need for materials, the small cells can increase the complexity of the manufacturing of the systems. This makes Tesla’s batteries even easier to produce.
“For instance, with use of many small format cells, it is envisioned that several electrical interconnects could be required to accomplish the conveyance of current from the large number of small format cells and this may also contribute to the complexity in design and manufacture of the battery system. The battery cell could also have some functionalities that may be redundant when aggregated into the battery system. As each battery cell would be manufactured independently of others, time and resources would need to be spent thereafter for combining the cells and for forming the interconnects to the current collectors typically, though a welding, or soldering process. Hence, there is a need to produce battery modules in a simplified manner.”
The innovations offered by Tesla’s recently published patent could allow the electric car maker to equip its vehicles with battery packs that are both compact and high-density. This would be pivotal to upcoming vehicles such as the next-generation Roadster, the Tesla Pickup Truck, and the Tesla Semi, all of which are expected to require large batteries to achieve their target range, and thus would require large numbers of cells from the electric car maker.
Tesla is the head of the pack in terms of batteries, as the company’s vehicles have considerably longer ranges than the vehicle’s of its competitors. For example, a Tesla Model S Performance variant contains a 100 kWh battery, with a WLTP estimated 365 miles of range when charged to its capacity. The newly released Porsche Taycan Turbo S contains a 93.4 kWh battery with a WLTP estimated 256 miles of range on a full charge.
The full text of Tesla’s novel battery design patent could 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
