Song, Yunfeng (Yanshan University), Zhang, Yahui (Yanshan University)

Exploration of Power-Thermal Coupling Modeling and Comprehensive Optimization of Hybrid Electric Trucks in Cold Chain Logistics

Scheduled for presentation during the Invited session "Learning-based Optimization and Control for Intelligent Electrified Vehicles" (ThB1), Thursday, October 31, 2024, 13:50−14:10, Room T1

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

Incorporating thermal management into the energy management optimization process of plug-in hybrid cold chain logistics trucks (PHET-CCL) provides an opportunity to improve fuel economy. Combining thermal load management (mainly referring to the refrigerated truck compartment) with the energy management process can provide greater benefits for PHET-CCL. However, considering that the power and heat of various components of the truck are coupled with each other during operation, a complex system is formed. In order to study the power and heat coupling characteristics of PHET-CCL, a high-precision power-heat coupling model is established in this paper. The model can simulate and output the power and refrigeration performance of PHET-CCL under real operating conditions, providing an effective reference for the comprehensive management and optimization control of energy and heat of refrigerated trucks.