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Supercapacitor breakthrough suggests EVs could charge in seconds but with a trade-off

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Supercapacitors may be providing an alternative to electric-car batteries sooner than expected, according to a new research study. Currently, supercapacitors can charge and discharge rapidly over very large numbers of cycles, but their poor energy density per kilogram —- at just one twentieth of existing battery technology — means that they can’t compete with batteries in most applications.

That’s about to change, say researchers from the University of Surrey and University of Bristol in conjunction with Augmented Optics. They have announced a breakthrough in supercapacitors, which are said to be between 1000 and 10,000 times more powerful than equivalent lithium-ion batteries and considerably quicker to recharge. However, they lack the storage capacity found in traditional automotive-grade lithium-ion batteries used in today’s electric cars. But Jim Heathcote, chief executive of Augmented Optics Ltd and Supercapacitor Materials Ltd, says consumers would likely still be happy with the trade off by having faster charging times. “A lot of people would be more happy with a half the range of a 300-mile, lithium ion-batteried EV, but a fast charging time”. If their research can be translated into the consumer market, EVs could re-charge in a time quicker than filling a vehicle with a tank of gasoline.

Tesla CEO Elon Musk has remarked in the past about the use of supercapcitors in electric vehicles, “If I were to make a prediction, I’d think there’s a good chance that it is not batteries, but super-capacitors.” The recent research could be a first sign that Musk’s prediction from five years ago could one day come to fruition.

Why a combination of batteries and supercapacitors is essential to a sustainable future

In the next few decades, fossil-fueled cars and home-heating systems will need to switch to electric power to avert catastrophic climate change. Electricity has tremendous benefits but also one significant drawback: it’s relatively difficult to store in a hurry. Batteries can hold large amounts of energy, but they take hours to charge. Capacitors are a solution to this dilemma, as they charge nearly instantaneously.

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A supercapacitor solves the problem of storing a reasonable amount of energy for a relatively short period of time. Supercapacitors have been typically used as energy reservoirs to stabilize power supplies to electrical and electronic equipment. But supercapacitors can also be connected to batteries to regulate the power they supply. However, up until this point, they have only been able to store minuscule amounts of energy.

To truly have a feasible electric-powered lifestyle in which we can store and release large amounts of energy very quickly, we need efficiency in both batteries and supercapacitors. Supercapacitors help to solve the “energy versus power” conundrum. “Energy” is the capacity to do work. In physics, work is the act of exerting a force over a distance. While energy measures the total quantity of work done, it doesn’t say how fast you can get the work done. “Power” is the rate of producing or consuming energy. Supercapacitors can bridge that divide and solve the inherent trade-off between EV energy and power.

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Dr. Brendan Howlin of the University of Surrey said: “There is a global search for new energy storage technology and this new ultra-capacity supercapacitor has the potential to open the door to unimaginably exciting developments.”

They hope to have a working prototype by spring 2017. “We are now actively seeking commercial partners in order to supply our polymers and offer assistance to build these ultra-high-energy density storage devices,” said Heathcote. In current form, the high energy density supercapacitors could make it possible to recharge mobile phones, laptops, or other mobile devices in just a few seconds.

A fleet of supercapacitor-equipped buses is already in use in China, although they do not achieve the range proposed by the Surrey research team.

Shout out to Chris Woodford for background info.
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Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla owners surpass 8 billion miles driven on FSD Supervised

Tesla shared the milestone as adoption of the system accelerates across several markets.

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Credit: Tesla

Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account. 

Tesla shared the milestone as adoption of the system accelerates across several markets.

“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average. 

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

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At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.

As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.

During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.

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The Boring Company’s Music City Loop gains unanimous approval

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.

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(Credit: The Boring Company)

The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown. 

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.

Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.

The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post. 

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Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.

“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said. 

The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.

Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”

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Tesla announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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