New research shows adding real-world driving data to battery management software and computer models of battery pack performance can lead to longer-lasting, more reliable batteries.
In the race for fast-charging, energy-dense lithium metal batteries, researchers discovered why the promising solid electrolyte version has not performed as hoped. This could help new designs – and eventually battery production – avoid the problem.
The secret to long life for rechargeable batteries may lie in an embrace of difference. New modeling of how lithium-ion cells in a pack degrade show a way to tailor charging to each cell’s capacity so EV batteries can handle more charge cycles and stave off failure.
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.
