Artificial Intelligence Based Heavy-Duty Fleet Charging to Enable Distributed Energy Resource Integration
Published:
Project Overview
This project develops artificial intelligence-based optimization strategies for heavy-duty (transit) fleet charging that enable integration of distributed energy resources, supporting both fleet electrification goals and grid modernization objectives. LBNL team is support MOEV Inc to achieve the vision.
Funding and Timeline
- Principal Investigator: Bin Wang
- Funding Agency: California Energy Commission (CEC)
- LBNL Portion: $300K
- Project Duration: 2021-present
- Technology Focus: AI, machine learning, distributed energy resources