Electrochemical-thermal modeling and experimental validation of commercial graphite/LiFePO 4 pouch lithium-ion batteries

Mastali, Mehrdad; Foreman, Evan; Modjtahedi, Ali; Samadani, Ehsan; Amirfazli, Amir; Farhad, Siamak; Fraser, Roydon; Fowler, Michael

doi:10.1016/j.ijthermalsci.2018.03.004

Cited by 73 publications

(28 citation statements)

References 47 publications

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“…Preliminary experiments revealed minimal variation in the temperature profile across the battery surface; therefore, the experimental temperature measurements reported in this work will be an averaged value of all seven thermocouple readings. It is also observed that the temperature gradient across the thickness of the cell is negligible; this finding was shown to be true by Mastali et al [21] for an LFP pouch cell. The specific thermocouple placements are shown in Figure 2.…”

Section: Introductionmentioning

confidence: 55%

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

et al. 2018

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An accurate and computationally efficient lithium-ion battery model is beneficial when developing state-of-charge (SOC) and state-of-health (SOH) algorithms for battery management systems (BMS). These models allow for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing, where the battery pack is simulated in software. However, development of these battery models can be time-consuming, especially when trying to model the effects of temperature and SOC on the equivalent circuit model (ECM) parameters. Estimation of this relationship is often accomplished by carrying out many experiments, which can be costly and time consuming for BMS manufacturers. To address these issues, this paper makes two contributions to literature. First, a comprehensive battery model is developed, where the ECM parameter surface is generated using a design of experiments (DOE) approach. Second, replication runs are conducted to accurately estimate the measurement noise and determine which model parameters are significant. The technique is then compared with existing approaches from the literature, and it is shown that, by using the proposed method, the same degree of accuracy can be obtained while requiring significantly fewer experimental runs. This can be advantageous for BMS manufacturers that require a high-fidelity model but cannot afford to carry out many experiments.

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Section: Introductionmentioning

confidence: 55%

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

et al. 2018

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“…According to previous studies, the maximum temperature difference between surface and center of battery cells during charge/discharge process are not significant. Also, a single temperature measurement point can provide adequate data regarding battery thermal behavior [11].…”

Section: Experimental Setup and Proceduresmentioning

confidence: 99%

Experimental Study of the Performance of a Li-Ion Battery in a Highway Driving Cycle

Amini

Özelci

Özdemir

et al. 2020

Kocaeli Journal of Science and Engineering

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Li-ion batteries, as a secondary battery type, are currently the most viable option for powering hybrid/electric vehicles. They have considerable advantages such as high specific energy and power, no memory effect, long cycling life, low maintenance requirement, and low self-discharge rate. However, their thermal performance can easily deteriorate at extreme ambient temperatures. Therefore, in this study, thermal and electrical behaviors of Li-ion batteries were investigated under various operating temperatures using a driving cycle that represents a highway driving condition. A battery testing system was used to determine the performance of Li-ion batteries under simulated loads. The results show that the measured temperature profiles, in broad strokes, follow the current profile. Because of the thermal capacitance of the battery, the changes in temperature variations are observed to be the smoothened out version of the current profile. Moreover, the results show that the extreme ambient temperatures have adverse effects on thermal performance of Li-ion batteries. The volumetric energy density and the capacity of the cell significantly decrease at cold ambient temperatures, especially for the sub-zero temperature applications possibly due to weak ionic conductivity within the cell. On the other hand, the difference between the ambient temperature and the surface of the cell becomes more pronounced as the ambient temperature decreases.

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“…In this paper, we use the basics of the multiphysics modeling method developed by Newman's group with several modifications that we made to improve its accuracy. The multiphysics model differential equations and their boundary conditions and the model validation have been reported and discussed in detail in other publications of the authors …”

Section: Modelingmentioning

confidence: 99%

Introducing the energy efficiency map of lithium-ion batteries

Farhad

Nazari

2018

Int J Energy Res

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Summary The charge, discharge, and total energy efficiencies of lithium‐ion batteries (LIBs) are formulated based on the irreversible heat generated in LIBs, and the basics of the energy efficiency map of these batteries are established. This map consists of several constant energy efficiency curves in a graph, where the x‐axis is the battery capacity and the y‐axis is the battery charge/discharge rate (C‐rate). In order to introduce the energy efficiency map, the efficiency maps of typical LIB families with graphite/LiCoO2, graphite/LiFePO4, and graphite/LiMn2O4 anode/cathode are generated and illustrated in this paper. The methods of usage and applications of the developed efficiency map are also described. To show the application of the efficiency map, the effects of fast charging, nominal capacity, and chemistry of typical LIB families on their energy efficiency are studied using the generated maps. It is shown how energy saving can be achieved via energy efficiency maps. Overall, the energy efficiency map is introduced as a useful tool for engineers and researchers to choose LIBs with higher energy efficiency for any targeted applications. The developed map can be also used by energy systems designers to obtain accurate efficiency of LIBs when they incorporate these batteries into their energy systems.

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Electrochemical-thermal modeling and experimental validation of commercial graphite/LiFePO 4 pouch lithium-ion batteries

Cited by 73 publications

References 47 publications

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

Experimental Study of the Performance of a Li-Ion Battery in a Highway Driving Cycle

Introducing the energy efficiency map of lithium-ion batteries

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