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Tesla Powerwall smarter integration with vehicle charging hinted at in API code
Recent observations from Tesla’s Powerwall API hint that the company’s electric cars will soon have a feature that will allow them to communicate better with the home battery system. With such a system in place, Tesla’s electric cars will not drain the Powerwall when the grid goes down.
The upcoming Powerwall and Tesla integration feature was first spotted by Model X owner and Reddit user u/cwiedmann.
“Looking through the data returned from the API, I see there’s now evidence of upcoming features for integrating Powerwalls and car charging as Elon mentioned. This appears to be support for preventing car charging from draining the batteries when the grid is down and maybe to allow the car to absorb surplus solar energy,” u/cwiedmann wrote on the r/TeslaMotors subreddit.
When the grid goes down, Tesla Powerwalls can meet the energy demands of a home, including charging an electric car like the Model 3, Model X, or Model S. That being said, there’s a big room for improvement especially when it comes to how a Tesla vehicle communicates with the home battery system. Tesla’s electric cars have massive battery packs after all, and they can drain an off-grid Powerwall if left unattended.
This appears to have happened in May 2019 to Tesla owner Erik Strait, who also runs the YouTube channel DӔrik. Strait brought up the Powerwall issue they encountered in Colorado and suggested features that may come handy to consumers, such as a setting that allows the home battery system to prevent cars charging when they are off the grid. Tesla CEO Elon Musk responded with a brief “Coming soon.”
Coming soon
— Elon Musk (@elonmusk) May 22, 2019
Elon Musk posted his response to the Tesla owner-enthusiast last May, and there have been few updates on the feature since. Nevertheless, references to the feature in the Powerwall’s API today suggests that the home battery-electric vehicle integration may be coming sooner than expected. How the functionality will be rolled out remains to be seen too, but there’s a good chance that Tesla may introduce the feature through an over-the-air update, similar to how the company activates “Storm Watch” for Powerwall-equipped homes located in areas that are facing natural disasters.
Ultimately, the upcoming Powerwall feature shows that Tesla is making a lot of headway in integrating key features of its energy products and its electric cars. This ecosystem could ultimately encourage buyers of Tesla’s electric cars to adopt the company’s energy and battery storage products too, similar to how Apple has encouraged customers to purchase devices within its product line due to their feature integration.
Very early on, we had the ability to use the car as a battery outputting power. Maybe worth revisiting that.
— Elon Musk (@elonmusk) July 4, 2018
These recent observations on the Powerwall API also invoke some thoughts on a feature that was mentioned by Elon Musk back in 2018. In a tweet then, Musk noted that it may be worth revisiting the idea of using its cars as batteries that output power, similar to a V2G (vehicle-to-grid) system. Tesla does seem to be exploring this idea recently, as hinted at by the Cybertruck’s capability to use its massive battery pack to power tools from its onboard outlets.
Teslarati will update you once the Powerwall-Tesla electric vehicle integration feature goes live. For now, this is a welcome development so the habit of “always be charging” does not lead one to a home without power. But of course, there’s always Camp Mode just in case.
Upcoming Powerwall/Vehicle Integration API Leaks from r/teslamotors
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
