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Tesla patent hints at more reliable batteries through ‘dynamic’ management system
It is no exaggeration to state that Tesla’s business hinges on its battery technology. Fortunately for the company, its batteries are among the best in the industry today. This is particularly notable in the case of Tesla’s electric cars, as well as its energy storage products. In terms of vehicles, Tesla’s battery tech has reached a point where it is capable of supporting the demands of closed circuit driving, as is the case with the Model 3 Performance’s Track Mode. In terms of battery storage, the quality and performance of Tesla’s batteries have been so impressive in South Australia that it appears to have started an energy storage movement.
Considering Tesla’s reputation for never staying still, though, it is almost certain that the company’s batteries will improve over time. This was mentioned by Tesla’s President of Automotive Jerome Guillen to CNBC last November, when he noted that the company’s technology consistently evolves. In his segment, the executive noted that “the design of the (battery) cell is not frozen,” indicating upcoming improvements in the near future.
A recently published patent points to one of these battery tech improvements. Titled “Multi-Channel and Bi-Directional Battery Management System,” the patent describes a way for Tesla to push the envelope on its battery management system even further. In the patent’s description, Tesla noted that the increasing demand for battery-based power is putting an emphasis on the performance demands of management systems, which ensure proper operation within a range of products like electric vehicles and energy storage units.
While battery management systems perform vital functions, the units themselves could be subject to various external factors. In the case of electric cars, the system could be subject to mechanical vibration and shock, varying environmental temperature, multiple power domains and a large number of interference sources that could deteriorate signals between the centralized management controller and multiple battery integrated circuits. Considering that batteries are the only power source for electric vehicles, instances involving a failure of the system could render an electric vehicle inoperable. With this in mind, Tesla notes that there is a need for a battery management system that is “more robust and dynamic.”
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- A diagram of Tesla’s battery management system. (Photo: US Patent Office)
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- A diagram of Tesla’s battery management system. (Photo: US Patent Office)
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- A diagram of Tesla’s battery management system. (Photo: US Patent Office)
Diagrams of Tesla’s battery management system. (Photo: US Patent Office)
Tesla’s patent describes what could be dubbed as a redundant battery management system, comprising a first client coupled within a multi-channel, bi-directional and daisy-chained communication loop. The electric car maker also outlined a method for identifying a failure location within a battery management system. Tesla describes these as follows.
“The battery management system may include a host (such as a microcontroller that manages at a system level) and clients (such as battery management integrated circuits that manage battery cells within the system). In embodiments, the host may be implemented in various structures including the previously mentioned microcontroller and manages the system by transmitting commands and receiving responses from one or more of the clients. Each client may monitor and control corresponding battery cells to measure the electrical and physical status of the cells, such as voltage, amount of remaining electrical charge and temperature of each cell. For instance, the client 120a may monitor the cells 130a. It is noted that each client may monitor a different number of battery cells. The client 120a may perform measurements (e.g., voltage, charge, temperature, etc.) as well as perform certain functions (e.g., bleed-off charge from a battery cell, etc).”
Tesla further discussed its rationale behind its use of daisy-chain loops for its battery management system.
“The host and each client may communicate commands and responses via a daisy-chain transmission path loop, where the daisy-chain loop may include a pair of wires that transmit electrical signals therethrough. In embodiments, the daisy-chain loop may connect the interface of the host to the interfaces of the clients in series so that communication may serially occur on one or multiple channels within the loop. “
“The battery management system is able to provide redundant communication paths because of its ability to bi-directionally communicate along the daisy-chain loop and because the two channels used on the daisy-chain loop each allow access to completely separate and redundant battery management systems. Specifically, the host is able to communicate in a clockwise direction around the serially connected clients as well as communicate in a counter-clockwise direction along the loop. This bi-directionality allows the host to communicate with each client in case there is a single failure within the daisy-chain loop. This redundancy applies to both channels.”
Ultimately, Tesla notes that these systems will result in what could only be described as “dynamic redundancy” across its battery management systems. This, of course, could foster a new generation of battery packs that are more reliable than the company’s already stellar batteries.
“One skilled in the art will recognize the use of a multi-channel signaling system as well as a bi-directional signaling architecture within the battery management system results in dynamic redundancy across the system itself. For example, if a primary or secondary circuit should fail on a client, the host may communicate a redundant command to the client using a different and fully operational channel. The multiple channel architecture ensures that even egregious malfunction of a sub-system, such as the transmission of spurious data, will not be able to interfere with normal operation of a complementary subsystem operating on a different channel. In addition, the bi-directionality of the system allows for compensation to occur in the event of a complete path failure somewhere within the loop.”
The past months have seen an influx of published patents for Tesla. Among these include an automatic tire inflation system patent that can pave the way for off-road capabilities for the company’s vehicles, a clever patent that would allow Tesla to address panel gaps during vehicle assembly, a patent that describes colored solar roof tiles, and even a system that uses electric cars as a way to improve vehicle positioning.
Tesla’s recently published patent on its Multi-Channel and Bi-Directional Battery Management System could be accessed in full here.
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla Hardware 3 owners could be made whole this month
