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.
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.
Engineers in Stanford’s Dynamic Design Lab are teaching a driverless DeLorean to steer with the agility and precision of a human driver with a goal of improving how autonomous cars handle in hazardous conditions.
Coal use is down dramatically in the United States and the European Union, and renewable energy is gaining traction. But rising natural gas and oil use in 2019 increased the world's carbon dioxide emissions modestly for a third straight year.
A Stanford-led research team invented a new coating that could finally make lightweight lithium metal batteries safe and long lasting, which could usher in the next generation of electric vehicles.
In order to make autonomous cars navigate more safely in difficult conditions – like icy roads – researchers are developing new control systems that learn from real-world driving experiences while leveraging insights from physics.
Stanford researchers are striving to help ensure the safety of driverless vehicles – from exploring complex ethical questions to developing leading-edge technologies to real-world testing of custom autonomous cars.
A Stanford political scientist shows how the American highway system has created affluent Republican suburbs, increased an urban-suburban political divide and led to reduced investment in urban infrastructure.
Someday your self-driving car could react to hazards before you even see them, thanks to a laser-based imaging technology being developed by Stanford researchers that can peek around corners.
A solar car named Sundae developed by Stanford students is about to race more than 1,800 miles across the Australian Outback, testing the limits of cutting-edge technologies and undergraduate ingenuity.
Self-driving technology presents vast ethical challenges and questions. Several professors and interdisciplinary groups at Stanford who are tackling this issue offer their perspectives on the topic.
When human drivers retake control of an autonomous car, the transition could be problematic, depending on how conditions have changed since they were last at the wheel.
