You’ll never know how far the Tesla Semi, the Volvo VNR, or other electric semi-trucks will go according to EPA testing standards. The answer is incredibly complex, but simply put, the EPA does not test or evaluate heavy-duty trucks for range ratings. Don’t expect the agency to tell you how far the Tesla Semi or other EV trucks will go because testing simply does not happen.
This allows manufacturers of heavy-duty electric vehicles and semi-trucks to have a profoundly unique ability to control the narrative that surrounds how far their product can go on a full charge. As crazy as it sounds, customers leaping into the all-electric Class 8 sector are putting trust in the companies they buy from when weighing what is arguably the most important metric of the EV ownership experience: range.
Following the certification of the Tesla Semi by the EPA in late October, which Teslarati exclusively reported on, we were bombarded with questions surrounding the vehicle’s EPA-rated range. Light-duty passenger electric vehicles and their success can almost always be gauged by how customers react to range ratings during unveiling events. When Lucid announced it had successfully reached an EPA-rated 520 miles of range on a single charge in the Air Dream Edition, the EV world was astounded. While the vehicle has felt heavy demand on order logs, Lucid still fulfills them to this day.
Meanwhile, other manufacturers bring vehicles to the market with relatively “light” range projections or ratings. It is always disappointing to see a vehicle with so much potential offer so little of what EV owners want: driving range. People do not want to stop at EV chargers. They want to continue their journey on the roads.
Polestar’s recently-unveiled Polestar 3 comes to mind when I (and some others) think of an astounding vehicle with not-so-astounding range and efficiency. Despite its 111 kWh battery pack, the Polestar 3 only offers 379 miles of WLTP-rated range. WLTP ratings are usually much more generous than EPA ratings, so I am anticipating the vehicle to reach around 300 miles of range when the U.S. agency gets its hands on it.
When light-duty vehicles are assessed, approved, and granted Certificates of Conformity from the EPA, they are available for the public to read and include results on efficiency and range testing. This is where heavy-duty vehicles and the testing process differ vastly from light-duty ones.
While these are both vehicle classes that are purchased and used by consumers on public roads, only light-duty vehicles are assessed for range ratings, while heavy-duty vehicle manufacturers do not have their products’ range “evaluated, reported, or included” in an application for certification, the EPA said in an emailed statement.
The EPA has numerous documents relating to this idea, as well as the Society of Automotive Engineers (SAE). However, the documents never directly specified why heavy-duty vehicles are not required to be tested by federal agencies. That does not mean that reasoning is not available.
The fact of the matter is the agency may not have been prepared to test heavy-duty electric vehicles for range ratings, especially this soon. A document found in the Federal Register that was submitted by the EPA and Department of Transportation (USDOT) in 2016 titled, “Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and Heavy-Duty Engines and Vehicles— Phase 2,” which established rules to reduce greenhouse gases, includes an interesting tidbit regarding electric vehicles:
“Given the high up-front costs and the developing nature of this technology, the agencies do not project fully electric vocational vehicles to be widely commercially available in the time frame of the final rules. For this reason, the agencies have not based the Phase 2 standards on adoption of full-electric vocational vehicles. We received many comments on electric trucks and buses. Specifically, EEI provided information on the total cost of ownership for electric trucks, and some applications may see attractive long-term cost.”
The time frame of the final rules is set to end in 2027 and apply to model year 2027 vehicles, according to the document.
The agency recognized in 2016 that these technologies may be in development, and we all know they are. As the EPA and NHTSA may not have been able to predict how quickly all-electric heavy-duty trucks would become a prevalent piece of American logistics, the agencies were aware that this technology was coming in the future:
“Phase 2 will include technology advancing standards that will phase in over the long-term (through model year 2027) to result in an ambitious, yet achievable program that will allow manufacturers to meet standards through a mix of different technologies at reasonable cost. The terminal requirements go into effect in 2027, and would apply to MY 2027 and subsequent model year vehicles, unless modified by future rulemaking. The Phase 2 standards will maintain the underlying regulatory structure developed in the Phase 1 program, such as the general categorization of MDVs and HDVs and the separate standards for vehicles and engines. However, the Phase 2 program will build on and advance Phase 1 in a number of important ways including the following: basing standards not only on currently available technologies but also on utilization of technologies now under development or not yet widely deployed while providing significant lead time to assure adequate time to develop, test, and phase in these controls.”
So, how do manufacturers determine range?
This is where things get very tricky because if the EPA is not testing the range itself as an unbiased government organization, it means manufacturers are required to test the vehicles themselves, leaving consumers to trust the companies that they are buying from.
Technically, manufacturers could say whatever they want regarding their electric trucks. Tesla has maintained significant range ratings for the Semi throughout its development, with Elon Musk recently stating the vehicle will have 500 miles of range per charge, with a sizeable payload. Of course, Tesla has been testing its vehicle internally and with the help of verified customers, like Frito Lay, who will take delivery of the first Semi on December 1.
It really comes down to independent testing. Volvo, for example, tested the range of its all-electric VNR Class 8 heavy-duty truck through a pilot program with third-party companies. Through its LIGHTS (Low Impact Green Heavy Transport Solutions) project, Volvo had companies like NFI Industries test the VNR through its commercial operations to prove and demonstrate the truck’s ability.
“By participating in the Volvo LIGHTS project, NFI is helping to prove that Volvo’s VNR Electric trucks can handle the daily rigors of freight movement. NFI continues to be a leader in sustainability, and it comes across in everything they do,” Peter Voorhoeve, president of Volvo Trucks North America, said. “NFI is realizing the immediate value the electric VNR provides—not just by eliminating emissions but creating an enthusiastic workforce complimenting the experience of driving these electric truck models.”
The LIGHTS project ran through 2021 and provided Volvo with “real-world operational data critical to the successful commercial scaling of these vehicles.”
So how do you know how far an all-electric Class 8 heavy-duty vehicle goes? You might literally have to find out for yourself, or you can trust the manufacturer’s word for it.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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 introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
