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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.

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.

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.

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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.

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 Cybercab sighting confirms one highly requested feature

The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.

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Credit: @DennisCW_/X

A recent sighting of Tesla’s Cybercab prototype in Chicago appears to confirm a long-requested feature for the autonomous two-seater. 

The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.

The Cybercab’s camera washer

The Cybercab prototype in question was sighted in Chicago, and its image was shared widely on social media. While the autonomous two-seater itself was visibly dirty, its rear camera area stood out as noticeably cleaner than the rest of the car. Traces of water were also visible on the trunk. This suggested that the Cybercab is equipped with a rear camera washer.

As noted by Model Y owner and industry watcher Sawyer Merritt, a rear camera washer is a feature many Tesla owners have requested for years, particularly in snowy or wet regions where camera obstruction can affect visibility and the performance of systems like Full Self-Driving (FSD).

While only the rear camera washer was clearly visible, the sighting raises the possibility that Tesla may equip the Cybercab’s other external cameras with similar cleaning systems. Given the vehicle’s fully autonomous design, redundant visibility safeguards would be a logical inclusion.

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The Cybercab in Tesla’s autonomous world

The Cybercab is Tesla’s first purpose-built autonomous ride-hailing vehicle, and it is expected to enter production later this year. The vehicle was unveiled in October 2024 at the “We, Robot” event in Los Angeles, and it is expected to be a major growth driver for Tesla as it continues its transition toward an AI- and robotics-focused company. The Cybercab will not include a steering wheel or pedals and is intended to carry one or two passengers per trip, a decision Tesla says reflects real-world ride-hailing usage data.

The Cybercab is also expected to feature in-vehicle entertainment through its center touchscreen, wireless charging, and other rider-focused amenities. Musk has also hinted that the vehicle includes far more innovation than is immediately apparent, stating on X that “there is so much to this car that is not obvious on the surface.”

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Tesla seen as early winner as Canada reopens door to China-made EVs

Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.

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Credit: Tesla

Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.

Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more. 

Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney. 

Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.

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Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver. 

When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.

Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.

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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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