Professor Mohsenian-Rad, Co-Director of the Winston Chung Global Energy Center, and his team have been awarded $1,500,000 from the California Energy Commission to develop, deploy, and demonstrate innovative, cost-effective technologies that enable electric trucks to provide vehicle-to-everything (V2X) services—including vehicle-to-grid (V2G) and vehicle-to-building (V2B) applications.
 

The research will focus on developing AI-driven control algorithms to reduce battery degradation, coordinate vehicles and chargers, and optimize V2X service delivery. These algorithms will dynamically adjust charging and discharging rates based on the aging and characteristics of the battery pack. They will also support battery conditioning and V2X-aware thermal management, co-optimizing rate control with active cooling on hot days and warm-up cycling on cold days, based on the battery’s thermal state and ambient weather conditions.

Real-time diagnostics using onboard fault and incipient fault indicators will help limit the frequency and intensity of charge and discharge cycles. Additionally, the electric truck’s battery capacity will be dynamically allocated across multiple V2X services based on real-time conditions—enabling simultaneous support for V2G, V2B, and vehicle-to-vehicle (V2V) applications to balance grid needs, meet building load demands, and support light-duty EV charging.

The project will also explore strategies for large-scale technology adoption.

The project, entitled "V2X Cost Reduction in Electric Trucks: Battery Impact Mitigation, Service Optimization, and Real-World Demonstration," is funded under the California Energy Commission's Grant Funding Opportunity GFO-24-302: Enabling Electric Vehicles as Distributed Energy Resources.