This $175,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a real-time framework for integrating electric vehicles with microgrids. The University of Florida will receive the funding to design an innovative machine learning algorithm for short-term load forecasting in microgrids, develop a cooperative game theory model to...
The National Science Foundation (NSF) awarded a $750,000 Project Grant to the University of Colorado-Denver under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. This 3-year research project explores how electric vehicles (EVs) can be integrated with the electric grid to address power outages, reduce energy costs, and create a more sustainable energy system. The award supports four research thrusts: 1) developing pricing mechanisms and institutional arrangements to promote...
This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include: A scalable,...
This Project Grant award of $150,000 from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of advanced artificial intelligence and machine learning algorithms to optimize the management of electric vehicle transactions with the power grid. The key products and services to be delivered under this award include: A hierarchical forecasting framework using cellular computational...
This $199,933 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop an interaction-aware management framework to improve the efficiency and sustainability of electric vehicle (EV) transportation systems and power grids. The key components of the project include: A multi-agent reinforcement learning control model for power systems to dynamically adjust electricity prices and...
This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) project grant award of $279,105 to the University of Alabama in Huntsville (UAH) aims to develop transformative solutions for enhancing the capabilities of electric vehicle battery management systems. The key products to be delivered include: An interconnected electro-thermal-aging model of a lithium-ion battery pack to better understand the interplay between electrical, thermal, and aging behavior and their impact on...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $698,978 Project Grant to Clemson University on October 1, 2023. This 3-year grant will fund research to develop effective solutions for the management of electric vehicle (EV) fast charging stations that reduce operating costs, shorten queuing time, and lessen battery degradation. The project aims to apply dynamic systems, control, and optimization techniques to derive new charging...
This Project Grant, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), provides $195,769 to Tennessee Technological University (Tennessee Tech) to develop scalable models and forecasting tools for planning and operating an electrified transportation network (ETN). The key products to be delivered include: A scalable travel motif-based electric vehicle (EV) data generation model that uses publicly available data to simulate individual EV travel...
This National Science Foundation (NSF) Project Grant award for $320,000.00, awarded on May 1, 2025 under the Engineering program (CFDA 47.041), aims to advance sustainable electrification systems by developing a novel estimation and monitoring framework to reduce the cost and extend the lifespan of repurposed electric vehicle (EV) batteries. The key products and services to be delivered include: (1) a sensor-lean and computationally-efficient estimation approach to simultaneously monitor a large...
This $150,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop an affordable, community-driven energy storage solution using repurposed electric vehicle (EV) batteries. The key products and services to be delivered include: A stakeholder-informed dataset capturing the social and techno-economic challenges and drivers influencing the adoption of battery-second-use community energy...