The move to electric vehicles will result in large costs for generating, transmitting, and storing more power. Shifting current EV charging from home to work and night to day could cut costs and help the grid, according to a new Stanford study.
The Stanford Energy Hydrogen Initiative will fund research to evaluate hydrogen’s role in the transition to sustainable energy and the technologies, policies, and financial mechanisms to fulfill that role.
The new center will provide a testbed to help academic and corporate researchers develop and deploy a new generation of physical structures and electronic technologies as prototypes for the urban environments of the 21st Century.
A new model offers a way to predict the condition of a battery’s internal systems in real-time with far more accuracy than existing tools. In electric cars, the technology could improve driving range estimates and prolong battery life.
Using a new algorithm, Stanford researchers have reconstructed the movements of individual particles of light to see through clouds, fog and other obstructions.
Researchers have modeled how coastal flooding will impact commutes in the Bay Area over the next 20 years. Regions with sparse road networks will have some of the worst commute delays, regardless of their distances from the coast.
The researchers hypothesize outcomes of the pandemic’s unprecedented socioeconomic disruption, and outline research priorities for advancing our understanding of humans’ impact on the environment.
Engineers have demonstrated a practical way to use magnetism to transmit electricity wirelessly to recharge electric cars, robots or even drones. The technology could be scaled up to power electric cars as they drive over highways, robots on factory floors and drones hovering over rooftops.
Using artificial intelligence, a Stanford-led research team has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold.
