Electro-thermal analysis and integration issues of lithium ion battery for electric vehicles
Introduction
Li-ion batteries are rechargeable batteries which are gaining popularity for Electric Vehicles (EVs) and Hybrid Electric Vehicles (HEVs) applications. Li-ion batteries with high energy density, low maintenance, less toxic, good cycle life and capable of accepting high charging rate is suitable for energy storage system in EVs and HEVs. Moreover, Li-ion batteries have no memory effect, do not required periodic deliberate full discharge and the self-discharge rate is less than half of Nickel Cadmium (NiCd) and Nickel Metal Hydride (NiMH) batteries. Hence, Li-ion batteries have been extensively investigated for potential applications in EVs and HEVs to replace NiMH and lead acid battery which have low energy density and depth of discharge. Recently, a series of fire accidents involving Li-ion battery pack in EVs indicated that there are still many challenges to be overcome, especially thermal issues of Li-ion battery. Li-ion battery needs to operate between 25–40 °C to maximize its performance, cycle life and reduce capacity fading caused by thermal aging [1]. Cycle life and capacity of the Li-ion battery are inverse proportional to the temperature of the cell [2], [3]. In order to satisfy the power requirements for specific devices, Li-ion batteries are electrically connected in series and or parallel to form a pack. Therefore, the uniformity of the cell temperature in the large pack should be maintained as homogeneous as possible (3–5 °C) to ensure comparable power performance, effective cell balancing and charge acceptance during regenerative braking [4]. Therefore, an accurate battery model is needed in order to predict the temperature of the battery pack when the physical battery testing facility is not available. Battery model has several advantages such as estimation of electrical and thermal behavior under different driving conditions in a short time, reduce the product life cycle cost of the battery pack and testing equipment cost [5]. The battery model is particularly useful for battery pack thermal management system and battery pack control and monitoring design and planning.
Several Li-ion battery models have been proposed to predict the charging and discharging behavior, state of charge (SOC), chemical reaction, Li-ion distribution, current density distribution, heat generation, temperature distribution, etc. Li-ion battery models can be distinguished into two major groups, mechanistic models – electrochemical, thermal models and empirical models- equivalent circuit models. Electrochemical modeling [6], [7], [8], [9], [10] used a coupled time variant spatial partial differential equations to model the electrochemical reaction of the battery. Although electrochemical models can accurately predict the aging and thermal behavior of Li-ion battery, the equations itself are complex and require extensive computational resources [11]. Moreover, most of the studies only presented results of numerical simulations and did not validate with experimental work [12], [13], [14], [15].
The electrical model [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27] or equivalent electric circuit consists of the voltage source, resistors and capacitors or set of empirical equations to represent the electrical behavior of a battery. The open circuit voltage of the battery is defined as a function of the SOC. The parameters required for the model are extracted from the Hybrid Pulse Power Characterization test (HPPC), pulse discharging or low It-rate of constant current discharging curves. These models are easy to use and required shorter computational times and have an advantage in large system simulations, especially in analyzing dynamic and thermal behavior of the battery under different driving cycles.
Lithium iron phosphate (LFP) battery have high thermal runaway temperature (270 °C), non-toxic, do not release oxygen at elevated temperatures and high cycle life (1000–2000) as compared to LiCoO2, LiMnO4 and LiNiMnCoO2 has make it become an attractive solution for future EVs battery pack [28]. Although there are some studies have been carried out to investigate the thermal behavior of Li-ion battery under different driving cycles, modeling work on LFP cell are rare [20], [29], [30], [31].
Li-ion batteries can be constructed into various shapes and sizes for different applications: spiral wound to form cylindrical cells or stacked plates to form pouch cells. The fabrication technology of spiral wound design of the Li-ion battery is more mature and commonly found in the market. Besides, spiral wound design has several advantages as compared to prismatic and pouch cell design such as: easy to fabricate, high energy density, mechanical stability, incorporated safety vent and not prone to swelling during operation [32]. However, small specific area to volume of a cylindrical battery could lead to the development of a large temperature gradient in the cell and thermal aging issues, heat is retained in the cell and hot spots are formed in the center of the cell. Large temperature gradient developed across the cell at large load could cause capacity fading [33]. The temperature gradient in the cell is significantly correlated with the diameter of the cell and It-rates. This implies that thermal analysis of different sizes of cylindrical cell is necessary to provide a guideline for determining a suitable size to integrate into EVs or HEVs battery pack.
In the present work, an electrical–thermal battery model was developed to investigate the electrical performance and thermal behavior of two different sizes of spiral wound LFP cell. The simulation results are confirmed by experimental data. The development of internal temperature under different cooling conditions was predicted by the battery model. Next, the validated single cell model is then extended to the whole battery pack to examine the thermal response of the cell under US06 Supplemental Federal Test Procedure (SFTP) driving cycle. Furthermore, the integration issues of the cell into the battery pack are discussed from different points of view, such as mechanical, electrical, thermal, manufacturing and maintenance. This study will serve as a basic guideline for cell thermal management system design and integration of cell for EVs and HEVs battery pack.
Section snippets
Battery model
A battery model is needed to describe the correlation between the input parameters to the Li-ion battery such as current or power and outputs of the battery model like voltage, SOC for constant current charging/discharging and dynamic conditions. The modified Shepherd model was used to model the voltage dynamics of the LFP cell in this study [34], [35], [36]. Eqs. (1), (2) are used to model the charging and discharging characteristics of the battery respectively [35], [36]. In this model, the
Validation of the cell voltage
Calibration result of the 38,120 battery model using 0.2 It of discharge curve is shown in Fig. 3(a) while the error of prediction is given in Fig. 3(b). The highest error of the simulation results as compared to experimental data is about −0.06 V during initial discharge, while at the end of discharge it is less than 3%. In Fig. 4 the measured and simulated voltage for 38,120 cell during 1, 2 and 3 It-rate of discharge is shown. Comparisons of simulated and measured voltage show that the
Conclusions
A detailed battery model is developed to investigate the performance and thermal response of two different sizes of the cylindrical cell. The model is based on the modified Shepherd model by extracting the data obtained from 0.2 It-rate of constant current discharge curve is able to predict dynamic behavior of the cell with good accuracy. Detailed information about the battery operating parameters such as SOC, I–V characteristics, skin temperature and internal temperature of the cell can be
References (49)
- et al.
Electrochemical-thermal analysis of 18,650 Lithium Iron Phosphate cell
J Energy Convers Manage
(2013) - et al.
The use of computer simulation in the evaluation of electric vehicle batteries
J Power Sources
(1998) - et al.
Control oriented 1D electrochemical model of lithium ion battery
J Energy Convers Manage
(2007) - et al.
Power and thermal characterization of a lithium-ion battery pack for hybrid electric vehicles
J Power Sources
(2006) - et al.
A three-dimensional thermal abuse model for lithium-ion cells
J Power Sources
(2007) - et al.
Dynamic energy model of a lithium-ion battery
Math Comput Simul
(2010) - et al.
Thermal modeling of cylindrical lithium ion battery during discharge cycle
J Energy Convers Manage
(2011) Battery thermal models for hybrid vehicle simulations
J Power Sources
(2002)- et al.
A comparative study of equivalent circuit models for Li-ion batteries
J Power Sources
(2012) - et al.
Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
J Appl Energy
(2012)
Model-based dynamic multi-parameter method for peak power estimation of lithium-ion batteries
J Appl Energy
Off-grid photovoltaic vehicle charge using second life lithium batteries: an experimental and numerical investigation
J. Appl Energy
A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles
J Appl Energy
A data driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles
J Appl Energy
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
J Appl Energy
Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination
J Appl Energy
Electro-thermal analysis of Lithium Iron Phosphate battery for electric vehicles
J Power Sources
Thermal analysis of rapid charging nickel/metal hydride batteries
J Power Sources
Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery
J Power Sources
Cycle-life model for graphite-LiFePO4 cells
J Power Sources
A practical battery wear model for electric vehicle charging applications
J Appl Energy
Lithium iron phosphate based battery-assessment of the aging parameters and development of cycle life model
J Appl Energy
Design of a lithium-ion battery pack for PHEV using a hybrid optimization method
J Appl Energy
Cited by (108)
Heat transfer enhancement of a lithium-ion battery cell using vertical and spiral cooling fins
2024, Thermal Science and Engineering ProgressEnergy analysis of a lithium-ion battery module for an e-bus application under different thermal boundaries
2023, Journal of Energy StorageA novel thermal management system for lithium-ion battery modules combining direct liquid-cooling with forced air-cooling
2023, Applied Thermal EngineeringNumerical study on heat dissipation performance of a lithium-ion battery module based on immersion cooling
2023, Journal of Energy Storage