Optimization Method of Phase Change Energy Storage Device for Electric Vehicle Batteries based on Numerical Simulation Jilin University

Format:

Book

Conference/Event

Author/Creator:

Zhang, Haonan, author.

Contributor:

Sun, Mingzhe

Zhang, Tianming

Zheng, Haoyun

Conference Name:

WCX SAE World Congress Experience (2025-04-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

Phase change energy storage devices are extensively utilized in latent heat thermal energy storage and hold significant potential for application in the thermal management of automotive batteries. By harnessing the high-density energy storage capabilities of phase change materials to absorb heat released by the batteries, followed by timely release and utilization, there is a substantial improvement in energy efficiency. However, the thermal conductivity of medium and low temperature phase change materials is poor, leading to its inefficient utilization. This paper focuses on optimizing the structure of a phase change heat exchanger in a phase change energy storage device to improve its performance. A basic design of the phase change heat exchanger is used as an example, and fin structure is added to enhance its heat exchange capabilities. A predictive surrogate model is built using numerical simulation, with the dimension and number of fins as design variables, and heat flow density, heat absorption and release time as optimization objectives. This model can utilize lower simulation calculation costs to obtain a continuous mapping relationship between optimization objectives and design variables within a certain range, and has high accuracy and reliability. The fitted design variable distribution surface is used to select any number of design points for verification. The deviation between prediction results and simulation results is less than 4%. Compared with the original design, the optimized design can not only achieve appropriate heat exchange efficiency according to requirements, but also extend the effective heat dissipation time, making the heat dissipation process more stable. The structural optimization method outlined in this paper offers a cost-effective approach to accurate prediction results, demonstrating practical engineering implications for the design of phase change energy storage devices and thermal management of electric vehicle batteries

Notes:

Vendor supplied data

Publisher Number:

2025-01-8603

Access Restriction:

Restricted for use by site license