Extending Battery System Operation via Adaptive Reconfiguration

Author:

He Liang1,Kong Linghe2ORCID,Gu Yu3,Liu Cong4,He Tian5,Shin Kang G.6

Affiliation:

1. University of Colorado Denver, Colorado

2. Shanghai Jiaotong University, Shanghai, China

3. Visa Inc., Austin, TX

4. University of Texas at Dallas, Richardson, Texas

5. University of Minnesota, Union Street SE Minneapolis, MN

6. University of Michigan, Ann Arbor, MI

Abstract

Large-scale battery packs are commonly used in applications such as electric vehicles (EVs) and smart grids. Traditionally, to provide stable voltage to the loads, voltage regulators are used to convert battery packs’ output voltage to those of the loads’ required levels, causing power loss especially when the difference between the supplied and required voltages is large or when the load is light. In this article, we address this issue via a reconfiguration framework for the battery system. By abstracting the battery system as a cell graph, we develop an adaptive reconfiguration algorithm to identify the desired system configurations based on real-time load requirements. Our design is evaluated via both prototype-based experiments, EV driving trace-based emulations, and large-scale simulations. The results demonstrate an extended system operation time of up to 5×, especially when facing severe cell imbalance.

Funder

NSF

NSFC

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model Study and Analysis of Operating Modes of a Reconfigurable Battery Pack;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

2. An Adaptive Control Framework for Dynamically Reconfigurable Battery Systems Based on Deep Reinforcement Learning;IEEE Transactions on Industrial Electronics;2022-12

3. Optimizing Discharge Efficiency of Reconfigurable Battery With Deep Reinforcement Learning;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2020-11

4. Novel battery wear leveling method for large‐scale reconfigurable battery packs;International Journal of Energy Research;2020-09-07

5. The Benefits of Dynamically Resizing Residential Storage;Proceedings of the Eleventh ACM International Conference on Future Energy Systems;2020-06-12

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