Published November 2019 | Version v1
Journal article

A novel resistor-inductor network-based equivalent circuit model of lithium-ion batteries under constant-voltage charging condition

  • 1. Automotive Engineering Research Institute, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu 212013 (China)
  • 2. Department of Electrical and Computer Engineering, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182 (United States)

Description

Highlights: • Introduced a novel RL network-based ECM to describe the battery CV charging current. • Developed enhanced ECMs containing multiple parallel-connected RL networks. • Conducted a comparative study to determine the preferred model structure. • Proposed a simplified model with satisfactory current estimation accuracy. • Validated the feasibility and superiority with test data after different cycles. -- Abstract: A constant-current constant-voltage (CCCV) charge protocol is commonly used for lithium-ion batteries. The dynamic characteristic of the constant-voltage (CV) charging current is discovered to be related to battery aging. In order to quantitatively describe the load current during the CV charging period, an equivalent circuit model (ECM) based on the resistor-inductor (RL) network is proposed in this paper. Motivated by the current expression derived based on the conventional resistor–capacitor (RC) network-based ECM, an RL network-based ECM is developed to characterize the CV charging current. Then, the parallel-connected RL networks are employed to improve the model fidelity. The test data of four lithium iron phosphate (LiFePO4) batteries in different aging states are employed to validate the proposed model. Comparative results show that the proposed 2nd-order ECM is the best choice, considering both the model accuracy and complexity. In addition, a simplified 2nd-order model is proposed, achieving a satisfactory accuracy with only three model parameters to be identified. Therefore, this model can be easily implemented in the battery management system (BMS).

Additional details

Identifiers

DOI
10.1016/j.apenergy.2019.113726;
PII
S0306261919314138;

Publishing Information

Journal Title
Applied Energy
Journal Volume
254
Journal Page Range
vp.
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55007698
Subject category
S42: ENGINEERING;
Descriptors DEI
CAPACITORS; ELECTRIC POTENTIAL; ELECTRIC-POWERED VEHICLES; EQUIVALENT CIRCUITS; LITHIUM; LITHIUM ION BATTERIES; RESISTORS; SOLENOIDS
Descriptors DEC
ALKALI METALS; ELECTRIC BATTERIES; ELECTRIC COILS; ELECTRICAL EQUIPMENT; ELECTROCHEMICAL CELLS; ELECTRONIC CIRCUITS; ELEMENTS; ENERGY STORAGE SYSTEMS; ENERGY SYSTEMS; EQUIPMENT; METALS; VEHICLES

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.