Research Index

A novel framework combining LLM-based multi-agent systems with predictive battery thermal management for coordinating urban EV fleets. The system leverages natural language interaction for fleet operators while optimizing battery longevity and energy efficiency through distributed intelligence and real-time thermal management.

A novel framework combining steerable LLM reasoning with predictive battery management for electric vehicle fleets. The system uses multi-agent coordination to optimize charging schedules, route planning, and battery thermal management while adapting to real-world conditions through self-calibrating reasoning paths.