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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 shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.
The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.
End of an era: Decommissioning the original Model S & X assembly line in just 46 days pic.twitter.com/kGEdfhl62h
— Tesla Manufacturing (@gigafactories) July 10, 2026
The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”
Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.
The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.
This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.
Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.
Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.
Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.
As one era closes at Fremont, another is rapidly taking shape.
Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.
In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.
Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.
The tone shifted dramatically from dismissal to acknowledgement of superior performance.
I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon.
And I would never cut them off in a way that hurt them badly, even as a competitor.…
— Elon Musk (@elonmusk) July 9, 2026
The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.
SpaceXAI signs agreement with Anthropic for massive AI supercomputer access
Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”
To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.
Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.
Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.
These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.
Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.
A Tesla analyst believes the company’s Full Self-Driving suite is close to an “inflection point,” where people will finally realize that it is more than what it appears, similar to how many view the iPhone.
Pierre Ferragu, an analyst who has covered Tesla for many years at New Street Research, says the Full Self-Driving suite is one piece of evidence supporting the view that a Tesla is more than a car. He compared it to the iPhone and noted that the high price tag seemed like a lot for a phone early on. Then people realized the iPhone was more than just something you make calls with. It made their lives simpler.
🚨 Analyst @p_ferragu says Tesla Full Self-Driving is at an “inflection point” in a recent commentary:
“A Tesla is not a car, the same way an iPhone was not a phone. As a tool that gets you to work peacefully every morning, it is not expensive. Give us 2 more quarters to see… pic.twitter.com/tm6xFrjVPV
— TESLARATI (@Teslarati) July 10, 2026
Suddenly, that price tag was justified.
Tesla offers several models under the average transaction price for a new vehicle, which was above $49,000, according to Kelley Blue Book. However, that does not take into account that many people can still not afford a $35,000 vehicle. Ferragu offers his thoughts:
“Remember when the addressable market of the iPhone was 10 million units? Then people realized how good it was, and now, nearly 250m are sold every year.
A similar evolution for Tesla is still on the table. A Tesla is not a car, the same way an iPhone was not a phone.
A model 3 at $35k + $100 per month is too expensive for most, but only as a car, the same way a $600 iPhone was too expensive for most, until most realized it was much more than a phone.
As a tool that gets you to work peacefully every morning, it is not expensive.”
This point is valid, especially considering the iPhone’s impact on the cell phone market. There are still a handful of players, but most people you know have an iPhone. The iPhone ties into Apple’s other ecosystem of products.
This is how Tesla plans to infiltrate the automotive market, and once the company offers a fully autonomous suite, or something that can allow for unsupervised self-driving, more and more people will flock to Tesla.
Ferragu believes Tesla needs two additional quarters of development before things will truly change. He didn’t elaborate on what will happen in two quarters, but he said it will give us all time to “see where this is heading.”
It is really quite interesting to see people’s reactions when they find out what a Tesla is capable of. Full Self-Driving is a great tool for taking stress out of travel; I use it daily, and it has made it really difficult to consider taking any other car on a drive of practically any length.
To me, it is really hard to believe that people will not at least seriously consider a Tesla as their next car if they experience Full Self-Driving. This is a major point for those who argue that Tesla should advertise in some way.
Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont
Elon Musk admits he was ‘clearly wrong’ about Anthropic
