How Tesla is Replacing the Age-Old CAN Bus

By Karan Singh
Tesla

Every Tesla vehicle is filled to the brim with modern and advanced features - and there is a massively complex network of devices powering that - from the FSD and infotainment computers, to the various networked sensors throughout the vehicle. 

That massive network of wiring is traditionally run on a system called CAN, or the Controller Area Network - which was developed by Bosch all the way back in the 1980s. Since then, it has been the industry standard for in-vehicle part-to-part communication for decades.

However, just like the horse and buggy, it may be time for CAN to be put out to pasture as it struggles in the data-driven modern environment. Massive amounts of sensor data, high-resolution infotainment screens, over-the-air (OTA) updates, and centralized Electronic Control Units (ECUs) mean that the old standard just can’t keep up anymore.

Tesla is now actively developing and deploying a next-generation vehicle network to replace CANBUS, and this new network will likely function in synergy with the move to the new 48-volt low-voltage architecture being pioneered by the Cybertruck.

CANBUS - The Old Workhorse

CANBUS was originally developed in 1983, released in 1986, and then standardized by the International Standards Organization (ISO) as ISO 11898 in 1993.

It’s a venerable standard that was revolutionary at the time, as it drastically reduced wiring complexity compared to the point-to-point methods being used in the late 80s and early 90s, and saw immediate mass adoption across the entire industry.

CAN is a message-based protocol, where nodes broadcast data with identifiers. The priority of packets determines their movement and access. However, CAN 2.0 and CAN FD are both extremely limited - CAN 2.0 is limited to a glacial 1Mbps, and ~8Mbps for the more “modern” CAN FD. 

CAN FD barely makes the mark for 1080p video streaming at 60fps - if it is pre-encoded. Unencoded raw video surpasses what CAN FD is capable of, and greatly limits its capabilities and usages in a modern data-first vehicle like a Tesla.

CAN is also complex - it is simpler than a point-to-point wiring system, but the multiple CAN buses and gateways result in a complex, heavy, and costly wiring harness that can be next to impossible to diagnose, repair, or replace.

Tesla’s Next-Gen Networking

Tesla’s next-gen networking is all about timing - and unlike CAN, where two messages coming in at the same time can collide (resulting in neither reaching the node), Tesla’s TDMA, or Time Division Multiple Access, assigns specific time slots. This means that access to each node or data point is guaranteed and avoids interference.

You can think of CAN being like everyone yelling in the same room - but TDMA being a tightly scheduled series of one-on-one meetings.

However, TDMA isn’t just a simple sorting system. According to Tesla's patent application, the network operates in repeating cycles. At the start of each cycle, a Network Allocation Map (MAP) is transmitted. Think of this MAP as the dynamic schedule for that cycle – it tells every node exactly which time slots are reserved for which communications. Each reservation specifies the transmitting node, the receiving node, the duration of the slot, and, crucially, the type of traffic it is for. 

This allows for sophisticated Quality of Service (QoS) management, separating data into different categories. The patent specifically calls out two main types:   

Low Latency (LL) Traffic: These are for critical, time-sensitive signals (think sensor readings for FSD, airbag triggers, control commands). They get assigned short time slots that repeat very frequently within the TDMA cycle (potentially every 500 microseconds, according to one example in the patent) to guarantee delivery within a strict maximum delay. The data packets themselves are kept small, maybe only tens of bytes, to fit these quick slots.

Bulk Traffic: This is for data where total volume is more important than millisecond-level delay (think infotainment data, camera video feeds, maybe larger data logs). These get assigned longer time slots, allowing for larger data packets (over 100 bytes in one example), ensuring high overall throughput even if they don't repeat as often as the LL slots.

This whole system relies on precise synchronization across all nodes. The patent mentions synchronization signals within the TDMA cycle and specialized modem hardware to keep everything perfectly timed.

The network can also be structured into logical domains (like front-left, cabin-right, etc.), each managed by a Domain Master node that handles the MAP and communication within that zone. So, TDMA isn’t just a sorting system; it's a highly managed network implementing traffic prioritization (LL vs. Bulk), dynamic slot allocation via the MAP, and potentially managed by centralized Domain Masters, all designed for efficiency and reliability.

48-Volt and LVCS

Many of these networking concepts appear designed to work hand-in-hand with Tesla’s recently-released LVCS - or Low Voltage Connector Standard. LVCS simplifies vehicle wiring networks by drastically reducing the number of connector types needed from over 200 down to just six. While the patent focuses on the data protocol, LVCS simplifies the physical layer, and the 48V architecture it's built on also enables using the vehicle's DC power lines as a potential network medium (PLC), helping to reduce complexity.

Tesla has been utilizing these new approaches in the Cybertruck, as evident in their new and unique interactive wiring diagram, which helps technicians debug wiring issues. We can expect even more features to take advantage of the new capabilities in the future.

48V also means thinner wires, which reduces costs, and LVCS simplifies the connectors on both the harness and nodes - which means less part complexity, further simplifying the manufacturing and supply chain, while also ensuring vehicles are more repairable.

Wrapping Up

This is another innovation that Tesla is introducing to its fleet - and while we initially looked at it and thought, “Wires? How boring,” we soon realized that it is, in fact, the skeleton that Tesla will use to build its future systems.

That means smoother, faster, and more robust FSD data transfer within the vehicle, resulting in snappier and more effective decision-making. A quicker and more functional infotainment system and better support for deep-reaching OTA updates due to the reduced internal complexity and lack of reliance on internal CAN buses, which couldn’t be updated.

This is a massive technological leap over the decades-old CAN bus system, and while it may be invisible to the average user, it is an excellent example of all the engineering that goes on in under the hood of every Tesla vehicle.

Tesla Denied “Robotaxi” Trademark for Autonomous Vehicles

By Karan Singh
Not a Tesla App

Tesla’s plan to brand its autonomous network of taxicabs has found an interesting little snag. The US Patent and Trademark Office (USPTO) has issued a “nonfinal office action” regarding Tesla’s application to trademark the term “Robotaxi” specifically in connection with autonomous electric vehicles.

This is an initial refusal by USPTO’s examining attorney and is very particular for autonomous electric automobiles. A separate trademark application by Tesla for the term “Robotaxi” as it relates to its upcoming autonomous ride-hailing service is still under examination and has not yet received a similar rebuttal.

Understanding the Refusal

A “nonfinal office action” means the USPTO has found potential issues with the trademark application, as stated, which prevents its immediate approval and subsequent granting to Tesla. Tesla now has a three-month period to file its counterarguments and address the USPTO's concerns. 

If Tesla’s response satisfies the examiner, the trademark could be granted.

While the exact content of the office action isn’t detailed in the initial report, such refusals for terms like “Robotaxi” often occur if the USPTO considers the term “merely descriptive” or “generic” for the goods in question. In this particular context, “Robotaxi” could refer to any autonomous taxi vehicle. 

Trademark law generally prevents the exclusive registration of terms that competitors would need to use to describe their own similar products. For a term to be trademarked, it typically needs to be distinctive and act as a brand identifier rather than just a descriptive name of the product’s class or type.

Separate Application for Ride-Hailing

Tesla still has a distinct, separate, and still pending application to register “Robotaxi” as a trademark for “transportation services, namely, autonomous ride-hailing services.” The criteria for trademarking a service can differ from those on trademarks for goods, and it’s possible Tesla may have more success securing the name for the service itself, which would allow them to brand the network as “Tesla Robotaxi.”

Why This Matters

Securing a trademark grants exclusive rights to use a brand name in conjunction with specific goods or services. This helps prevent customer confusion and to protect the brand identity.

If the refusal for the vehicle trademark becomes final, Tesla may be limited in its ability to exclusively name a good (specific vehicle) the “Tesla Robotaxi.” Other manufacturers could also potentially use “robotaxi” descriptively for their own autonomous taxi vehicles.

The ability to trademark “Robotaxi” for the ride-hailing service is arguably more critical for Tesla, as they’re working to establish a unique brand for their autonomous transportation network, which kicks off in Austin next month.

The USPTO’s office action won’t hinder Tesla’s ability to develop or deploy its own vehicles in June - instead, it’ll just impact how Tesla can brand the app and their vehicles, which could cause some last-minute delays if they have to rebrand.

Cybercab and Robovan/Robobus Trademarks

While Tesla is facing challenges with the broader Robotaxi term for vehicles, the company is also seeking to trademark “Cybercab,” “Robovan,” and “Robobus.” Securing a less descriptive name for the vehicle itself often has a higher chance of success with USPTO, as it is far more distinctive than a more general term like “robotaxi.”

Why Didn’t Tesla Do This Years Ago?

Tesla may have waited too long to file a trademark for the term “Robotaxi.” While the company has been discussing a self-driving fleet since 2016, the concept of autonomous taxis has gained a lot more traction in recent years — and competitors like Uber have also begun using the term.

We suspect there was some strategic timing behind these filings. Earlier versions of FSD — particularly those prior to V12 — may have lacked the progress needed to support Tesla’s robotaxi ambitions. Filing for a trademark that isn’t actively in use or about to be used can make it harder to defend or retain.

Moreover, while the idea of autonomous vehicles has been around for years, a clearer public understanding of Tesla’s specific plans has only emerged over the past 18 months. Filing too early can trigger speculation long before the company is ready to reveal details.

Ultimately, whether Tesla secures the rights to “Robotaxi” remains uncertain — but trademarks like “Cybercab” and “Robovan” seem much more likely to stick.

Tesla Launches AI Agent to Improve Tesla Service Communications

By Karan Singh
Not a Tesla App

One of Tesla’s greatest weaknesses, as it has quickly become one of the world’s most ubiquitous cars on the planet has always been service. Escalating issues to managers and sometimes even reaching a Tesla Service employee can be a total coin flip, depending on your Service Center.

Tesla is continuing its push to integrate AI across its customer support channels in an effort to improve customer service. According to Raj Jegannathan, Tesla’s VP for IT, AI Infrastructure, Apps, Infosecurity, and Vehicle Service Operations (that’s a lot), Tesla is launching a pilot program for a new AI designed to improve customer interactions with Service.

This new initiative follows other recent AI deployments across Tesla’s customer-facing channels, including the personalized AI assistant within the Tesla App, the ability to ask questions to AI on Tesla’s website, and the biggest one, the new voice-based AI customer representative introduced for Tesla Insurance.

Proactive AI Support

At 10 pilot service locations, this new AI agent will begin working behind the scenes at Tesla Service, to help with customer communications. It will provide three key features:

Detect Communications Delays: The AI will actively monitor service interactions to identify potential delays in communication or progress. These are often a key pain point for customers who reach out to Tesla Service and don’t receive a response for several days, as Service has nothing new to add. The AI can now step in and let the customer know Tesla is still waiting on parts or something else.

Monitor Customer Sentiment: By monitoring the tone and content of the messages between the customer and Service agents, Tesla will be able to identify situations where a customer might be dissatisfied or facing difficulties.

Auto-Escalate: If either a communications delay or negative sentiment is detected, the AI can automatically escalate issues to human managers for review. This helps to address problems before customers need to seek escalation themselves or become upset about an issue.

Customer Escalation Requests

Alongside the new AI tool, Tesla is also introducing a more direct way for customers to get higher-level attention. According to Tesla, within the next two weeks, customers can simply type “Escalate” in order to have their issue routed directly to management.

Raj’s team is currently working on implementing guardrails to prevent abuse, but this will soon make its way to improving Tesla’s service offerings. We’re glad to see Tesla taking steps to identify and correct deficiencies in the process - it has always been a sore tooth for Tesla in the last few years.

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