Fusion Control Strategy Based on Rule and Dynamic Objective of Heat Pump Type Thermal Management System for Electric Vehicles Tongji University, School of Automotive Studies

Format:

Book

Conference/Event

Author/Creator:

Zhao, Luhao, author.

Contributor:

Liu, Xiang

Tan, Piqiang

Yang, Xiaomei

Yao, Chaojie

Conference Name:

SAE 2024 Vehicle Powertrain Diversification Technology Forum (2024-12-06 : Xi'An, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

Thermal management system of electric vehicles (EVs) is critical for the vehicle's safety and stability. While maintaining the components within their optimal temperature ranges, it is also essential to reduce the energy consumption of thermal management system. Firstly, a kind of architecture for the integrated thermal management system (ITMS) is proposed, which can operate in multiple modes to meet various demands. Two typical operating modes for vehicle cooling in summer and heating in winter, which utilizes the residual heat from the electric drive system, are respectively introduced. The ITMS based on heat pump enables efficient heat transfer between different components. Subsequently, an ITMS model is developed, including subsystems such as the battery system, powertrain system, heat pump system and cabin system. The description of modeling process for each subsystem is provided in detail. The model is tested under world light vehicle test cycle (WLTC) condition of six different temperature groups to validate its feasibility. Next, a dynamic objective control strategy is proposed. It divides the operating condition into multiple time steps, where at each step, non-dominated sorting genetic algorithm II (NSGA-II) algorithm is employed to perform multi-objective optimization of cabin temperature, battery temperature, and state of charge (SOC). Different objectives are prioritized at different stages to achieve dynamic objective control. A fusion control strategy is developed by combining rule-based control with dynamic objective control. Finally, a comparative validation of the three control strategiesrule-based control, multi-objective control, and fusion controlis conducted under 40°C conditions. The results indicate that the designed thermal management system is effective. The fusion control strategy not only achieves desirable temperature control of each subsystem but also achieve energy reduction to a certain extent, which also alleviates range anxiety

Notes:

Vendor supplied data

Publisher Number:

2025-01-7023

Access Restriction:

Restricted for use by site license