Energy-Aware Predictive Control for the Battery Thermal Management System of an Autonomous Off-Road Vehicle Clemson University

Format:

Book

Conference/Event

Author/Creator:

Sundar, Anirudh, author.

Contributor:

Ghate, Atharva

Korivi, Vamshi

Prucka, Robert

Ruan, Yeefeng

Zhu, Qilun

Conference Name:

WCX SAE World Congress Experience (2024-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2024

Summary:

Off-road vehicles are increasingly adopting hybrid and electric powertrains for improved mobility, range, and energy efficiency. However, their cooling systems consume a significant amount of energy, affecting the vehicle's operating range. This study develops a predictive controller for the battery thermal management system in an autonomous electric tracked off-road vehicle. By analyzing the system dynamics, the controller determines the optimal preview horizon and controller timestep. Sensitivity analysis is conducted to evaluate temperature tracking and energy consumption. Compared to an optimal controller without preview, the predictive controller reduces energy consumption by 55%. Additionally, a relationship between cooling system energy consumption and battery size is established. The impact of the preview horizon on energy consumption is examined, and a tradeoff between computational cost and optimality is identified. The findings at the system level are also shown to be applicable at the vehicle level

Notes:

Vendor supplied data

Publisher Number:

2024-01-2665

Access Restriction:

Restricted for use by site license