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Category: transportation – Page 216

Emerging technology could help extract lithium from new sources

As more drivers adopt plug-in hybrid and electric vehicles, the demand for lithium-ion batteries will continue to explode over the next decade. But processes for extracting lithium can be time-consuming and chemical-intensive, and traditional sources—including brine and hard rock—could ultimately be depleted.

Scientists and engineers are now looking to unconventional sources, including oil-and gas-produced water, geothermal brines, and rejected brines from seawater desalination. But how much lithium lies within these sources, and how to best extract it, remains an open question.

Asst. Prof. Chong Liu’s team now has the answer. By analyzing more than 122,000 unconventional water sources, she and her team discovered that there is, in fact, enough lithium within these sources to make it worthwhile to extract.

PIP-II transportation test frame is ready for action

Successful assembly was the result of a collaboration among three institutions in three countries.

Cryomodules are essential components for the U.S. Department of Energy’s Fermi National Accelerator Laboratory’s accelerator complex upgrade, known as the Proton Improvement Plan II, or PIP-II.

PIP-II features a brand-new, 800-million-electronvolt leading-edge superconducting radio-frequency linear accelerator, or linac for short, that will enable Fermilab to produce more than 1 megawatt of beam power, 60% higher than current capabilities. To achieve this groundbreaking feat, the linac will be made up of cryomodules, which are vessels containing niobium cavities.

The first particle accelerator on U.S. soil built with significant contributions from international partners, PIP-II will receive three assembled cryomodules from partners at the Science and Technology Facilities Council in the United Kingdom and nine assembled cryomodules from Commissariat à l’Énergie Atomique et aux Énergies Alternatives, or CEA, in France.

Enhancing the safety of autonomous vehicles in critical scenarios

Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential threats around the vehicle in real-time.

The team’s paper builds on one of their previous studies, featured in IEEE Transactions on Intelligent Vehicles earlier this year. This previous work was aimed at providing autonomous vehicles with situation-aware environment perception capabilities, thus making them more responsive in complex and dynamic unknown environments.

“The core idea behind our work is to allocate perception resources only to areas around an automated that are relevant in its current situation (e.g., its current driving task) instead of the naive 360° perception field,” Matti Henning, one of the researchers who carried out the study, told TechXplore. “In this way, computational resources can be saved to increase the efficiency of automated vehicles.”