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Rivian patent application hints at 900V fast charging capabilities
A recently published Rivian patent application titled “Configurable Battery Pack for Fast Charge” describes a method of switching between battery pack connection types to allow for both 450V and 900V fast charging without the need for specialized components. The invention was filed in both the US and internationally, and both applications just published today as US Patent Publication No. 2019/0126761 A1 and International Publication No. WO/2019/084507 A1.
Rivian’s application sets out to solve three specific issues with electric vehicle battery charging. First, increases in charging rates typically require more expensive parts that are rated for the higher current requirements. Second, electronic devices operated while a battery is charging may be impacted via increased voltage when a battery’s charging rate is increased. Finally, when a fault occurs in a battery module, a battery system often needs to be completely disconnected from any loads or the charging voltage must be changed.
The basic concept of the application purports to solve the above-referenced problems. As described, the invention claims that battery modules connected in parallel achieve a targeted maximum high voltage for an electric load (such as 450V), but when connected in series that voltage can be doubled (900V). Details of why this is advantageous are explained in the application as follows:
“A configurable battery system allows the techniques of [this invention] to be applied to an electric vehicle…to more fully utilize a battery charger’s potential [where] it is desirable to achieve a particular charging target. For example, a charging target of 150 kW at 450 V may require a current of 334 A…[and] components may need to be sourced to handle up to 400 A continuously to handle the charging….If a battery system were able to take advantage of charging at 900 V, the charging target of 150 kW could be achieved at just 167 A, which may allow for more numerous, better quality, or cheaper options for charging components. For example, a current of 167 A may allow different hardware to be used than if the current were nearer to 400 A.“
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
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- Figure from Rivian’s battery connection switching patent application. | Image: Rivian/USPTO
The application also includes a battery management system to determine which connection should be used at a given point and switch the connection type accordingly. This same management system is also used to detect faults in the system while charging and use the switching capability to handle them accordingly rather than disconnecting any battery loads.
The US application for this invention was filed June 8, 2018 and thus has not yet been examined. However, in the international version, an examiner has already searched for related inventions based on the first 10 claims of Rivian’s application. These claims only describe “a configurable battery system in which connection of two batteries can be switched between a series and a parallel connection”, which is not considered novel on its own.
This kind of finding is not uncommon for applications undergoing the international filing process and will be further addressed once filed in specific countries. Three other inventions were determined to be present in the application which will likely be incorporated with the first ten as the invention’s proceedings continue.
Rivian aims to be the leading expert on battery technology, and patent applications such as this one are a nod towards that innovation goal. The Michigan-based all-electric car maker runs a battery lab in Irvine, California where it has picked up several engineers from renowned supercar brand McLaren. This talent pool includes hypercar engineer Richard Farquhar who is their VP of Propulsion, leading Rivian’s battery and powertrain development.
Currently, each Rivian battery module holds 864 cells, stacked evenly on top of one another, with a thin 7mm aluminum plate with liquid coolant in between. In addition to connection testing, the company uses machine learning to adjust battery cell settings to build predictive models and tune the cells based on situations that may be encountered, such as weather conditions.
Altogether, Rivian’s aim to achieve a level of battery technology that’s reliable and optimal for the electric outdoor adventure branding it has embraced looks to be moving in a promising direction.
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 –Â $0.41 Reported vs. $0.36 Expected
- Revenues –Â $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow –Â $1.444 billion
- Profit –Â $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
