Green Car Congress
SEPTEMBER 10, 2023
A team of MIT researchers led by William H. —Prof Green To implement such a design, the team aims to modify the truck’s powertrain to allow onboard hydrogen release from the LOHCs, using waste heat from the engine exhaust to power the dehydrogenation process. Proposed process flow diagram for onboard dehydrogenation.
Green Car Congress
JANUARY 15, 2021
Now, MIT engineers are proposing using an ammonia-based selective catalytic reduction (SCR) system that could result in an approximately 95% reduction in NO x emissions in exchange for a ~0.5% Current airplane design uses engines anchored beneath each wing. increase in block fuel burn. —Prashanth et al.
Green Car Congress
FEBRUARY 20, 2020
Using this methodology, we rapidly identify high-cycle-life charging protocols among 224 candidates in 16 days (compared with over 500 days using exhaustive search without early prediction), and subsequently validate the accuracy and efficiency of our optimization approach. This process iterates until the testing budget is exhausted.
Cars That Think
FEBRUARY 9, 2024
The recent progress in commercial humanoids is just exhausting. Unitree ] We present an avatar system designed to facilitate the embodiment of humanoid robots by human operators, validated through iCub3, a humanoid developed at the Istituto Italiano di Tecnologia. I can relate; that’s my reaction when I lift weights, too.
Green Car Congress
AUGUST 5, 2015
A team of researchers at MIT and Tsinghua University has developed a high-rate, high-capacity and long-lived anode for Li-ion batteries comprising a yolk-shell nanocomposite of aluminum core (30 nm in diameter) and TiO 2 shell (~3 nm in thickness), with a tunable interspace (Al@TiO 2 , or ATO). Earlier post.). —Li et al.
Green Car Congress
JULY 15, 2020
FLECCS Phase 1 teams will design, model, and optimize CCS processes that enable flexibility on a high-VRE grid. At the conclusion of the Phase 1 period, teams will be down-selected based on an engineering design review and the projected economic impact of their Phase 1 projects on a future electricity grid.
Green Car Congress
MARCH 9, 2021
A new deep-learning algorithm developed by MIT researchers is designed to help machines navigate in the real, imperfect world by building a healthy “skepticism” of the measurements and inputs they receive. This research was supported, in part, by Ford Motor Company as part of the Ford-MIT Alliance. An adversarial world.
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