Davis Baja Racing is building cars and rebuilding its identity as a mainstay competitive student organization within the College of Engineering. The recently reassembled club is off to the races, revving up for its spring regional competition.
Alan Jenn, an associate professor of civil and environmental engineering at UC Davis, discusses the Environmental Protection Agency’s plan to rescind its landmark 2009 decision affirming greenhouse gases as a threat to public health and welfare, and its impact on electric vehicles.
UC Davis EcoCAR reached new milestones at this year's challenge, earning top awards for energy efficiency and design. From high-speed tests to teamwork under pressure, communications manager Riddhi Puranik shares how the team proved they're ready to accelerate into Year 4.
UC Davis researchers model the future of lithium supplies and find battery recycling could dramatically reduce the need for new mines. The team calls for smarter policies and faster action to make EV adoption greener, cleaner and more resilient.
Erik Contreras, a UC Davis mechanical engineering graduate student, paused their degree to pursue a Master of Fine Arts in Design. In this Q&A, Contreras discusses their interdisciplinary journey, creative hacking and their work on autonomous vehicles.
Distinguished Professor of Civil and Environmental Engineering Dan Sperling is the 2024 recipient of the American Road & Transportation Builders Association’s S.S. Steinberg Award.
Over the past four years, the number of public charging ports across the U.S. has doubled. As of August 2024, the nation had 192,000 publicly available charging ports and was adding about 1,000 public chargers weekly. But there’s still a need to make the charging experience more reliable and accessible for everyone.
From electrifying off-road vehicles to finding a pathway to advanced decision-making in autonomous vehicles, the assistant professor is working on some serious vehicular upgrades starting with the foundation: control systems.
Autonomous vehicles can struggle when confronted with unforeseen events, such as a car driving on the wrong side of the road. To address this issue, Professor Junshan Zhang is rethinking how researchers design AVs by letting the machine learning models train themselves.
