A new report led by PNNL identifies the top 13 most promising waste- and biomass-derived diesel blendstocks for reducing greenhouse gas emissions, other pollutants, and overall system costs.
A new report summarizes the manufacturing and production locations of lithium-ion battery cells and packs by make and model for PEVs sold in the U.S. from 2010 to 2020. It also summarizes the annual and cumulative Li-ion battery capacity installed in hybrid electric vehicles (HEVs) sold in the U.S.
The conversation around autonomous cars often begs safety questions, much like it does around racecars.
Professors at Ural Federal University (UrFU, Russia) Sergey Shcheklein and Aleksey Dubinin have developed a technology for generating energy for an electric car engine using methanol. An article describing the technology was published in the International Journal of Hydrogen Energy.
There are several ways for a business to make a dollar, and an often illegal one is collusion among corporations. But the usual practice is an agreement to keep prices high or quantities low. Less investigated, however, is collusion on non-compliance of regulations — and in the auto industry, those often mean environmental regulations.
Up to now passenger cars are classified by experts in each country into categories such as micro, small, middle, upper middle, large and luxury class. But this old fashioned method has limitations in terms of compatibility. Moreover, some crossover vehicles are difficult to categorize. Empa scientists found a method to do this sorting fairly and in an efficient way by browsing databases with machine learning methods.
A new study by a team of scientists from Argonne National Laboratory and Chilean-based SQM shows the best ways to produce lithium more efficiently.
A Cornell University-led team has calculated that by the year 2050, vehicle electrification, driverless cars and ride sharing could slash U.S. petroleum consumption by 50% and carbon dioxide emissions by 75% while simultaneously preventing 5,500 premature deaths and saving $58 billion annually.
Researchers have increased the lifetime of a promising electric vehicle battery to a record level.
A new technology for autonomous systems that is responsive to human emotions based on machine-learned human moods has earned a very competitive utility patent from the U.S.P.T.O. for FAU. This unique invention uses non-intrusive sensors to perceive the mood of drivers and passengers in semi or fully autonomous vehicles, which is essential to properly navigate autonomous vehicles on the roads and to build trust between humans and AI/autonomous technologies.
Access to transportation will be made easier in a semi-rural Oregon town through an electric vehicle carsharing program. PNNL is lending analytics expertise that will inform programs in other rural and semi-rural areas.
Oak Ridge National Laboratory scientists have for several years now steadily advanced a wireless charging technology that can make powering an electric vehicle just as easy, or easier, than filling up a car with gas. The researchers are now nearing the completion of a new system to charge EVs while they’re in motion.
Nobody likes driving in a blizzard, including autonomous vehicles. To make self-driving cars safer on snowy roads, Michigan Tech engineers look at the problem from the car’s point of view--its sensors.
If a ban were introduced on the sale of new petrol and diesel cars, and they were replaced by electric cars, the result would be a great reduction in carbon dioxide emissions.
A groundbreaking collaboration with one of the world’s largest producers of lithium will yield critical insights into the lithium production process and how it relates to environmental sustainability.
One day in the near future dyes in electric motors might indicate when cable insulation is becoming brittle and the motor needs replacing.
In a collaboration between Pacific Northwest National Laboratory and the University of Washington’s Urban Freight Lab, a prototype webapp has been developed that combines smart sensors and machine learning to predict parking space availability. The prototype is ready for initial testing to help commercial delivery drivers find open spaces without expending fuel and losing time and patience.
PNNL scientists, working with researchers at Washington State University and Tsinghua University, discovered a mechanism behind the decline in performance of an advanced copper-based catalyst. The team’s findings, featured on the cover of the journal ACS Catalysis, could aid the design of catalysts that work better and last longer during the NOx conversion process.
A team of engineers recommends expanding fast-charging stations for electric vehicles as campuses and businesses start planning for a post-pandemic world. The recommendation is based on a study of charging patterns for electric vehicles on the University of California San Diego campus from early January to late May of 2020, after the university moved most of its operations online. Researchers say the findings can be applied to a broader range of settings.
Researchers at Cornell University are pioneering a new way to wirelessly charge electric vehicles, autonomous forklifts and other mobile machines, while they remain in motion.
Having your social media account hacked is a pain. Having your credit card account hacked can be devastating. Having your new electric vehicle hacked could be disastrous.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
Cars that autonomously navigate from A to B are expected to be a common sight in a few years from now. But road approval is still a long way off. One important aspect: How can we tell a self-driving car has become "blind" with age, i.e., its sensors would need to be replaced? An Empa team is looking for a solution.
Scientists have identified the primary cause of failure in a state-of-the-art lithium-metal battery, of interest for long-range electric vehicles: electrolyte depletion.
Charging electric cars can put a strain on the electricity grid. And commuting to work by car can cause traffic congestion.
A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations.
Researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California, Los Angeles published a new study that makes the case for prioritizing public policy to help move long-haul trucking from diesel to electric. Doing so will mean huge gains in addressing the climate crisis and avoiding premature deaths due to local vehicular pollution, which disproportionately affects communities of color.
Future roads will likely carry autonomous vehicles that communicate with one another in a system where vehicles relay information — like destination, speed, or upcoming lane change — and then receive real-time feedback about decisions like route changes necessary to avoid traffic. Such an intelligent connected vehicle system could vastly improve mobility and safety, while reducing congestion and emissions from vehicles idling in traffic, but it will also add significant complexity to already dynamic traffic patterns, making vehicle flow vulnerable to instability.
In a recent collaborative study led by the University of Maryland (UMD), researchers find that consumers tend to buy something less fuel efficient than they normally would for their second car after springing for an eco-friendly vehicle.
Connected, automated vehicles promise to save energy and improve safety. Michigan Tech engineers propose a modeling framework for cooperative driving. Simulation results show that the cooperative automated eco-driving algorithm saves energy — 7% under light traffic and 23% under heavy traffic.
The grant, led by SICCS professors Fatemeh Afghah and Abolfazi Razi and Regents' professor Peter Fulé, will give firefighters a better situational awareness about the fire environment; provide up-to-date information on where the fire is; and help fire responders form reliable predictions about the fire activity.
Automotive recalls are occurring at record levels, but seem to be announced after inexplicable delays. A research study of 48 years of auto recalls announced in the United States finds carmakers frequently wait to make their announcements until after a competitor issues a recall – even if it is unrelated to similar defects.
Michigan Tech engineers look into the untapped potential of parking lots in a study that investigates the energy-related benefits of developing charging stations powered with solar canopies built into the parking infrastructure of large-scale retailers like Walmart.
A new study in the journal Risk Analysis found that people are more likely to blame a vehicle’s automation system and its manufacturer than its human driver when a crash occurs.
Supercomputers funded by the National Science Foundation are being used to develop more reliable and efficient electric vehicles and other products by focusing on the batteries that power them.
The broad introduction of particle filters reduced the emission of combustion generated fine and ultrafine particles significantly. As a result, brake disc and tire abrasion are moving into the focus of public health experts and engineers, given their health harming potential. There is still a major challenge, though: How can the quantity and size of brake dust particles be measured correctly? Empa researchers are currently developing a sophisticated method.
An initial recall by one firm prompts clusters of additional recalls in close proximity by competitor firms, according to “Hiding in the Herd: The Product Recall Clustering Phenomenon,” forthcoming in Manufacturing and Service Operations Management from the University of Notre Dame.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, Oak Ridge National Laboratory researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
A multi-institutional effort led to the design of a highly active and more durable catalyst made from cobalt, which sets the foundation for fuel cells to power transportation, stationary and backup power, and more.
Scientists have improved a promising battery technology, creating a single-crystal, nickel-rich cathode that is hardier and more efficient than before. Increasing nickel content in the cathode of an electric vehicle’s battery is attractive because of nickel’s relatively low cost, wide availability and low toxicity compared to other materials.
A multi-disciplinary, multi-institutional group has identified a solution to two of most pressing issues in a key fuel cell component — the catalyst used to drive the reactions.
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
The new method could be the key to designing more efficient batteries for specific uses, like electric cars and airplanes.
The Coventry Very Light Rail (VLR) is an innovative light rail system which will be battery powered, lightweight and rail-based.
In future, commercial vehicles will not only have to emit less CO2 but also meet stricter exhaust emission limits. Many experts expect that this could herald the end for fossil diesel. One possible alternative is dimethyl ether: The highly volatile substance burns very cleanly and can be produced from renewable energy. Empa is investigating this new powertrain concept using a special test engine.
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