Posted in sustainability, transportation | Leave a Comment on Automakers are spending billions on battery development. Lucid Motors’ CEO says they’re missing what will really make buyers want an electric car
While most automakers are laser-focused on improving their batteries, the CEO of EV startup Lucid Motors says the battery pack is “totally overrated.”
Tesla has unveiled its latest structural battery pack with 4,680 cells during a Gigafactory Berlin tour ahead of Model Y production at the new factory. The start of production at Gigafactory Berlin is not just significant for Tesla’s growth in Europe, but it will also mark the launch of an important new version of the […].
Tesla has unveiled its latest structural battery pack with 4,680 cells during a Gigafactory Berlin tour ahead of Model Y production at the new factory.
The start of production at Gigafactory Berlin is not just significant for Tesla’s growth in Europe, but it will also mark the launch of an important new version of the Model Y. Tesla plans to build the new Model Y at Gigafactory Berlin on a whole new platform with its structural battery pack.
Earlier this year, Electrek obtained the first image of a Tesla structural battery pack prototype.
Circa 2009
The futuristic thought of antimatter that is typically related to sci-fi movies may one day be able to provide propulsion to vehicles. Antimatter, is an exact oppposite copy of matter. Identical to matter, but with its electrical charge completely opposite of the original matter. Think of a battery with a positive and negative pole. The positive pole repsresenting matter, and the negative pole representing antimatter.
Antimatter is the exact oposite of matter. A definition as provided by Wikipedia concludes that antimatter is composed of antiparticles in the same way that normal matter is composed of particles. For example, an antielectron (a positron, an electron with a positive charge) and an antiproton (a proton with a negative charge) could form an antihydrogen atom in the same way that an electron and a proton form a normal matter hydrogen atom. Furthermore, mixing matter and antimatter would lead to the annihilation of both in the same way that mixing antiparticles and particles does, thus giving rise to high-energy photons (gamma rays) or other particle–antiparticle pairs.
Seems like a bunch of info for the physicists out there. But where does antimatter come in for vehicle propulsion and how does it apply to electric vehicles. The violent explosion created when matter and anitmatter collide results in considerable energy in the form of movement of protons and electrons similar to the proces of electricity moving, though at a signifacntly higher rate. This explosion, if harnessed correctly could provide thrust to a vehicle.
Speaking of cars, consider the future of transportation and mobility, entailing the advent of self-driving cars.
It would seem that self-driving cars will be a welcomed boon to humanity. Predictions are that the regrettable 40,000 annual fatalities due to car crashes in the United States alone will be reduced enormously, and likewise, the estimated 2.3 million car crash injuries will nearly disappear.
What’s not to like about the emergence of self-driving cars?
That brings up this intriguing question: Could the advent of AI-based true self-driving cars somehow get intermingled into the act of bothering a neighbor?
This seems like a rather curious question and defies the aura of goodness that surrounds the self-driving car realm.
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Name that TV show.
Well, I’m sure you immediately guessed that those are the lyrics from the ever-popular Gilligan’s Island and indeed, you would be right.
If you hear the song a few times in a row, it is abundantly catchy and might cause you to hark back to the original days of the show being aired (for those that were around then) or might remind you of watching those ubiquitous recordings online of the show as available on today’s social media platforms.
In 2,022 a startup will begin selling airless bike tires that never go flat because they’re made out of a special NASA-developed metal alloy.
Self-driving trains could be greener, carry more stuff, and help unclog America’s congested supply chains. And making them a reality will likely be far easier than perfecting autonomous vehicles.
Circa 2020
Artificial intelligence (AI) is evolving—literally. Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI.
“While most people were taking baby steps, they took a giant leap into the unknown,” says Risto Miikkulainen, a computer scientist at the University of Texas, Austin, who was not involved with the work. “This is one of those papers that could launch a lot of future research.”
Building an AI algorithm takes time. Take neural networks, a common type of machine learning used for translating languages and driving cars. These networks loosely mimic the structure of the brain and learn from training data by altering the strength of connections between artificial neurons. Smaller subcircuits of neurons carry out specific tasks—for instance spotting road signs—and researchers can spend months working out how to connect them so they work together seamlessly.
When urban development takes place, a traffic impact assessment is often needed before a project is approved: What will happen to auto traffic if a new apartment building or business complex is constructed, or if a road is widened? On the other hand, new developments affect foot traffic as well — and yet few places study the effects of urban change on pedestrians.
A group of MIT researchers wants to alter that, by developing a model of pedestrian activity that planners and city officials can use in much the same way officials evaluate vehicle traffic. A study they have conducted of Melbourne, Australia, shows that the model works well when tested against some of the most comprehensive pedestrian data available in the world.
“Our model can predict changes in pedestrian volume resulting from changes in the built environment and the spatial distribution of population, jobs, and business establishments,” says Andres Sevtsuk, an associate professor in MIT’s Department of Urban Studies and Planning (DUSP) and lead author of a newly published paper detailing the results. “This provides a framework to understand how new developments can affect pedestrian flows on city streets.”
Tokyo-based aircraft manufacturer Tetra Aviation revealed its first commercially available personal eVTOL (electric vertical take-off and landing) Mk-5 just a short while ago. It happened in July at this year’s AirVenture OSHKOSH event in Wisconsin, touted the world’s greatest aviation celebration. Now the company follows with a flight demonstration of the aircraft in California.
