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Tesla patent reveals Solar module aimed at faster, more attractive installations
Tesla Solar may have taken a step back from the limelight in recent years due to the electric car maker’s efforts to ramp the Model 3 sedan, but recent signs from the company indicate that it is now ready to start aggressively pushing its Energy business. Apart from high-profile projects such as the 50% expansion of the Hornsdale Power Reserve, Tesla also appears to be working on notable improvements to its residential solar system installation processes.
One such improvement was outlined in a recent patent application titled Method and apparatus for mounting photovoltaic modules. The patent describes a novel mounting system for photovoltaic modules that make them easier to install, maintain, and even remove if necessary. Tesla notes that its patent allows solar panel installations to be more aesthetically pleasing than traditional PV setups as well.
In its discussion, Tesla explained that solar panel installations are usually hit by a number of challenges, particularly in terms of alignment, grounding, wiring, rafter connections, and several other factors related to the mounting of the PV system itself. With this in mind, Tesla stated that there is a clear need for a PV module mounting system that is simple, cost-effective, and widely adaptable.
To address these challenges, Tesla has come up with an invention that utilizes an interlocking photovoltaic module mounting system. This design provides a “one piece, integrated photovoltaic module frame portion that is directly mountable to a support structure and interlocks with separate adjoining photovoltaic module frame portions.”
“A preferred embodiment of the invention includes an interlocking mechanism comprising at least one C-shaped channel portion on the outside surface of the PV module frame member with the opening oriented parallel to the plane of the substantially flat top solar cell covering, and which interlocks with an identical adjoining C-shaped channel portion of an adjoining PV module frame member through the use of a separate male coupling member which is inserted into the C-shaped portions of the two adjoining modules. The adjacent C-shaped channel portions do not overlap each other. The male coupling member may also serve as a means for providing electric ground continuity between PV modules,” Tesla wrote.
Such a system would offer a variety of benefits for Tesla and homeowners. Among these benefits include potentially faster installation processes, easier maintenance, and even simpler removal, to name a few. Utilizing the design outlined in Tesla’s patent, the electric car maker further explained that solar installations would look better, since the mounting systems provide no gaps between modules. Such a system will likely not make regular solar panel installations as attractive as, say, a Tesla Solar Roof installation, but it does allow for a very sleek overall look.
“The inventive system thus provides an interlocking, self-grounding, and self-aligning framing structure for each module, which provides three-dimensional adjustability, allows simple connection to the rafters, minimizes penetrations in the roof, allows access to wiring interconnects without removing modules, does not require expensive strut hardware, utilizes a non-overlapping, interlocking mechanism which allows for all PV modules in an array to rest in the same plane instead of having consecutive modules at slightly different angles due to the overlapping nature of an interleaved connection, and which in some embodiments allows removal of single PV modules from the middle of the array.
“The inventive system also provides an attractive appearance by having a low profile, with no gaps between modules, and no visible hold-downs or hardware, plus optional cosmetic flashings for screening visible edges of the array and optional cosmetic caps for covering the small gaps that may occur, or in one embodiment, for bridging between two adjacent PV modules to cover the wiring. Additional benefits are further described herein,” Tesla noted.
Promoting solar installations to homeowners is a key component of Tesla Energy’s business. And to gain an advantage in the residential solar market, Tesla would need to ensure that its PV installations are worthy of its premium brand while being cost-effective overall. Tesla’s electric cars are a cut above the rest of the market and thus, the expectations for its energy business are high. With such ideas as presented in this recently published patent application, it would appear that Tesla is actively exploring ways to improve its residential solar initiatives, even down to their mounting system.
Read the full discussion on Tesla’s innovative PV mounting solution patent here.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
