Design and Verification of an Adaptive State-Tuned Power Management System for Series Hybrid Electric Tracked Vehicles

Abstract The accelerated shift towards electrification in the tracked vehicle industry, particularly concerning off-road and military vehicles, poses challenges due to their intensive power consumption and limited charging infrastructures. Addressing these challenges, this paper focuses on the development of an adaptive state-tuned power management system for a series hybrid electric tracked vehicle. The vehicle's architecture includes an electric traction unit and a hybrid powerpack. The core of this research involves designing a dynamic power allocation system that adjusts the power sharing between the battery and a generator set under varying operational conditions. Through a systematic approach, a power management algorithm featuring a hierarchical controller structure to manage the power flow is designed. Simulation tests, both Driver-in-the-Loop (DIL) and Model-in-the-Loop (MIL), were employed to verify the system’s performance. Results indicate that the algorithm coordinates power distribution, ensuring optimal performance while adhering to the system's constraints and adapting to immediate power demands, demonstrating its potential for enhancing hybrid vehicle operations in demanding maneuvers.