A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control

被引:15
|
作者
Gu, Yuxuan [1 ]
Wang, Jianxiao [2 ]
Chen, Yuanbo [1 ]
Xiao, Wei [1 ]
Deng, Zhongwei [3 ]
Chen, Qixin [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Peking Univ, Natl Engn Lab Big Data Anal & Applicat, Beijing 100084, Peoples R China
[3] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Electro-chemical model; Lithium-ion battery; Model simplification; State estimation; SINGLE-PARTICLE MODEL; SOLID-PHASE DIFFUSION; REDUCED-ORDER MODEL; REDUCTION; DESIGN; STATE; EXTENSION;
D O I
10.1016/j.energy.2022.126192
中图分类号
O414.1 [热力学];
学科分类号
摘要
The penetration of lithium-ion batteries (LIBs) in transport, energy, and communication systems is increasing rapidly. A meticulous but simplified LIB model for non-uniform internal state monitoring and online control is sought in practice. Based on the pseudo-two-dimensional (P2D) model, a simplified electro-chemical model for LIBs is proposed. Specifically, a rigorous model of the non-uniform reaction rates inside the battery is derived. Sub-models that capture the non-uniformity of current densities, potentials and concentrations are developed synchronously. Time-variant parameters and a lumped thermal model are incorporated as well. A full-cycle simulation framework, including the discretization, initialization, stabilization and closed-loop correction methods, is designed for ease of online control. Numerical experiments on the widely used NCM and LFP 18650 batteries under standard charge and discharge protocols and dynamic protocols during the peak-shaving or regulation service are conducted for validation. Generally, the speed of the proposed model increases hundreds of times compared to the P2D model. The estimation accuracy of internal and external states increases around 10% to 100% compared to state-of-art electro-chemical models. In addition, the correction speed and accuracy of the closed-loop framework increase around ten times and around 100% respectively compared to the widely used ensemble Kalman filter.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] In-situ temperature monitoring of a lithium-ion battery using an embedded thermocouple for smart battery applications
    Gulsoy, B.
    Vincent, T. A.
    Sansom, J. E. H.
    Marco, J.
    JOURNAL OF ENERGY STORAGE, 2022, 54
  • [22] Online Monitoring of Lithium-Ion Battery Internal Temperature Using PWM Switching Oscillations
    Xiang, Dawei
    Yang, Chen
    Li, Hao
    Zhou, Yiheng
    Zhu, Sitian
    Li, Yipeng
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 38 (01) : 1166 - 1177
  • [23] Online state of health monitoring of lithium-ion battery based on model error spectrum for electric vehicle applications
    Chen, Zeyu
    Li, ShiJie
    Cai, Xue
    Zhou, Nan
    Cui, Jing
    JOURNAL OF ENERGY STORAGE, 2022, 45
  • [24] Online estimation of the state of charge of a lithium-ion battery based on the fusion model
    Wang X.-L.
    Jin H.-Q.
    Liu X.-Y.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2020, 42 (09): : 1200 - 1208
  • [25] Research on Online Identification of Lithium-ion Battery Equivalent Circuit Model Parameters
    Wu, Yahui
    Chen, Haishan
    Cao, Liangqiang
    Duan, Jinjin
    Chen, Xu
    Zhai, Jiyao
    2022 9TH INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION, IFEEA, 2022, : 130 - 136
  • [26] A multiphysics model for the in situ stress analysis of the separator in a lithium-ion battery cell
    Wu, Wei
    Xiao, Xinran
    Huang, Xiaosong
    Yan, Shutian
    COMPUTATIONAL MATERIALS SCIENCE, 2014, 83 : 127 - 136
  • [27] Lithium-Ion Battery: a Simplified Modeling Procedure and System Simulation
    Brenna, M.
    Foiadelli, F.
    Longo, M.
    Barcellona, S.
    Piegari, L.
    2016 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), 2016, : 1034 - 1040
  • [28] Electro-Thermal Modeling of a Lithium-ion Battery System
    Ma, Yue
    Teng, Ho
    Thelliez, Marina
    SAE INTERNATIONAL JOURNAL OF ENGINES, 2010, 3 (02) : 306 - 317
  • [29] detailed Electro-thermal model of an NMC lithium-ion prismatic battery cell
    Madaoui, Said
    Vinassa, Jean -Michel
    Sabatier, Jocelyn
    Guillemard, Franxk
    2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING, 2023,
  • [30] Fast Model Predictive Control for Redistributive Lithium-Ion Battery Balancing
    McCurlie, Lucas
    Preindl, Matthias
    Emadi, Ali
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (02) : 1350 - 1357