Exergi Predictive Advances Energy Management for Robotic Combat Vehicles

Exergi Predictive has successfully completed its Phase II project, “Energy Management of Robotic Combat Vehicles using Physics-Guided Digital Twin and Edge-Based Artificial Intelligence,” in August 2024. This milestone marks the culmination of a two-year effort to develop and validate innovative tools for optimizing energy usage across robotic combat platforms.

The project showcased significant achievements, including:

• ~95% route energy prediction accuracy on tracked combat vehicles, demonstrated live through edge-deployed AI solutions.
• Physics-Guided Digital Twin Models for real-time mission energy prediction and anomaly detection, improving operational confidence.
• 10%+ energy savings potential, offering reduced fuel costs and extended mission range in contested environments.

A key innovation was Exergi’s Energy Prediction for Intelligent Command and Control (EPICC) platform, enabling route planning, stealth operations, and dynamic mission updates. The tools provide actionable insights to predict fuel consumption, anticipate anomalies like flat tires or excess weight, and improve overall energy resilience for battlefield operations.

Building on this success, Exergi Predictive has received a continuation of the project to collaborate with the Next-Generation Combat Vehicle Cross-Functional Team (NGCV-CFT) under the Army Futures Command. This next phase will focus on developing the energy use profile of a combat unit that incorporates robotic combat vehicle platforms, further enhancing operational readiness and mission efficiency.

Exergi Predictive continues to advance its energy management analysis tooling, expanding EPICC’s capabilities to integrate with future autonomous systems and provide data-driven insights for defense and commercial applications.

Learn more about our advancements at www.exergipredictive.com