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Rivian’s color-coded battery charge indicator patent makes charging extra-convenient
Charging electric vehicle batteries is a task that is universal for all EV owners. Electric car makers across different brands have placed their own flourish to make their EV charging system unique, such as Tesla’s lighted indicators for the Model S, X, and Model 3. Electric truck maker Rivian aims to do the same thing, and if a recent patent application is any indication, it appears that the company is looking to make its battery charging indicators extra-convenient and creative at the same time.
There are times when electric car owners will find it difficult to determine the status of their vehicle while its batteries are charging. This is especially true during long trips, when vehicles are parked at public charging stations. If an owner is getting a bite or having a cup of coffee at a cafe, for example, it would be difficult to determine if the vehicle is done charging. Mobile apps showing the status of a vehicle are great, but it would be extra convenient if owners are able to see the status of a charging vehicle at a glance.
This is the central point of Rivian’s recent patent, titled “Exterior Light and Charge Indicator.” Engineers at Rivian believe EV owners should be able to determine the amount of battery charge that their vehicle has from a distance easily. Thus, the company has designed a system using bright LED bulbs that could be seen from across a parking lot or charging station. These LEDs will be integrated into the vehicle itself, as part of its lights.
“It would be advantageous to provide a user with an easy way to read a charge indicator of an electric vehicle. It would also be advantageous to provide a charge indicator that is visible a short or longer distance away from an electric vehicle. It would also be advantageous to utilize existing exterior lighting or lighting areas to provide a charge indicator,” the patent states.
The Rivian R1T pickup truck and R1S SUV are equipped with a long light strip in the middle that’s flanked by two rounded lights. This light strip, as per press images from the electric truck maker, will be used as a primary battery charge indicator if the vehicle is charging. Rivian’s recent patent explains the further use of this light strip in the section below.
“In some embodiments, the lighting control module is configured to cause the exterior light to emit light of a first color (e.g., white) during driving operation of the electric vehicle and emit light of a second color during charging, where the first color is different than the second color (e.g., blue). In some embodiments, the lighting control module is configured to cause the exterior light to emit light of a third color (e.g., green) when the vehicle battery is fully charged. In some embodiments, the lighting control module is configured to cause the exterior light to emit light of a fourth color (e.g., red) when there is a charging fault.”
Such a system would likely give Rivian owners a pretty easy way to determine if their truck or SUV is finished charging, or if there are any issues with the vehicle’s charging session. The fact that the light strip is fairly large works in Rivian’s favor, as there is no doubt that the LEDs would be very visible from a distance.
Another interesting aspect of this new idea is the use of a proximity sensor that could be configured to detect the presence of a person. This sensor would work much like a motion detection system and would light up in the event that a person is within 50 feet of the charging vehicle. It also could utilize a cell phone’s Bluetooth signal to determine when the owner is near. This would then activate the light system that would allow the driver to determine the progress of the charge.
Rivian has released a number of patents within the past few weeks. As the company is gearing up for production of its R1T pickup truck to begin at the tail end of 2020, the Plymouth, Michigan-based company is seemingly putting the final touches on its vehicles before the first units are delivered to reservation holders. Following the R1T, Rivian is also expected to start the production of its seven-seater SUV, the R1S.
The full text of Rivian’s recent color-coded, integrated charging indicator light could be accessed 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
