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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.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.
The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.
Our Bay Area rideshare service now goes to SFO ✈️
— Tesla AI (@Tesla_AI) July 21, 2026
Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.
The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.
UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch
This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.
The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.
Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.
The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.
Tesla has officially revealed its 2026 Summer Update, which comes with a variety of crazy new features, including Navigation fixes that owners have been wanting for months.
Tesla routinely releases a larger update with the Spring, Summer, Fall, and Winter updates, where it ships a variety of new features, bug fixes, and other additions to customer cars.
The 2026 Spring Update featured things like “Hey Grok” voice assistance, a redesigned self-driving app, Unreal Engine visual upgrades, and more.
🚨 TESLA’S SUMMER UPDATE FOR 2026 IS HERE:
Featuring:
✅ Self-Driving Stats in Mobile App
✅ Caraoke with Scoring
✅ Automatic Navigation
✅ Preferred Routes
✅ Set Arrival Energy from Mobile App
✅ Send Custom Wraps from Mobile App
✅ Rear Display Lock
✅ Other Improvements
🔌… https://t.co/C9IW3egEhH— TESLARATI (@Teslarati) July 21, 2026
Tesla’s Summer Release has about ten new features; we’ll show you each and detail them below:
New Grok Voice Commands
“Grok can now make phone calls, search and play music, adjust climate, open the glovebox, and answer questions about your Tesla.”
Self-Driving Stats in Mobile App
“View and share self-driving stats from the mobile app.”
Caraoke With Scoring
“Caraoke now scores your singing while in Park. High scores are saved to your Tesla profile.”
Automatic Navigation
“Automatic Navigation now adapts to your routine.
In addition to Home, Work, and upcoming calendar events, your vehicle can now suggest and route to places you visit regularly – like a school drop-off on the way to work, or the gym on the way home.”
Preferred Routes
“For a more personalized experience, navigation now prioritizes routes that you’ve taken before”
Set Arrival Energy from Mobile App
“Set your desired Arrival Energy from your phone.”
Send Custom Wraps from Mobile App
“Skip the USB drive and upload a custom wrap of your car from the mobile app. Instructions for creating a custom wrap here: https://github.com/teslamotors/custom-wraps.”
Rear Display Lock
“Kids can watch content on the rear screen, but only the front row can control it through the rear screen app.”
Other Improvements
- Find Superchargers by name when searching for a destination
- Add Apple Music songs to queue from search and artist page
- Set your preferred zoom level for the Self-Driving visualization
- Intro animations for new Model 3 and Y
Elon Musk handed Grok something no other AI company can get their hands on
Tesla expands ridesharing service in California to new hotspot
