Air Cooling Concepts for Li-Ion Battery Pack in Cell Level

2017 ◽  
Author(s):  
Kuo-Huey Chen ◽  
Taeyoung Han ◽  
Bahram Khalighi ◽  
Philip Klaus
Keyword(s):  
Pressure Drop ◽  
Peak Load ◽  
Battery Pack ◽  
Cfd Modeling ◽  
Air Cooling ◽  
Li Ion Battery ◽  
Cell Level ◽  
Flow Rates ◽  
Cooling Flow ◽  
Li Ion

Computational Fluid Dynamics (CFD) modeling is used to study different cooling architectures for the next generation (Gen-2) EREV Li-Ion battery package. There might be advantages of air cooled batteries with respect to complexity, cost and reliability compared to liquid cooled systems like the EREV (Extended Range Electric Vehicle) GEN1 battery. Therefore, the feasibility of air cooling architectures is investigated first and later liquid cooling strategies. In this study, the thermal performance and pressure drop of the cell level for two of the core product designs are reported. The parameters considered in this study include two different heat generations (heat sources) by the battery pack and three cooling flow rates. The heat generations used are 500 W and 1500 W representing the normal driving and peak load conditions, respectively. The cooling flow rates are 100, 200 and 600 m3/h. The battery cell temperatures, both in terms of absolute value and the variation within the cell, and the pressure drop which is related to the required pumping power, are evaluated and presented.

Li-Ion Battery Pack Thermal Management: Liquid Versus Air Cooling

2018 ◽  
Vol 11 (2) ◽  
Author(s):  
Taeyoung Han ◽  
Bahram Khalighi ◽  
Erik C. Yen ◽  
Shailendra Kaushik
Keyword(s):  
Heat Transfer ◽  
Air Flow ◽  
Low Flow ◽  
Inlet Temperature ◽  
Air Cooling ◽  
Li Ion Battery ◽  
Liquid Cooling ◽  
Flow Rates ◽  
High Heat Transfer ◽  
Li Ion

Abstract The Li-ion battery operation life is strongly dependent on the operating temperature and the temperature variation that occurs within each individual cell. Liquid-cooling is very effective in removing substantial amounts of heat with relatively low flow rates. On the other hand, air-cooling is simpler, lighter, and easier to maintain. However, for achieving similar cooling performance, a much higher volumetric air flow rate is required due to its lower heat capacity. This paper describes the fundamental differences between air-cooling and liquid-cooling applications in terms of basic flow and heat transfer parameters for Li-ion battery packs in terms of QITD (inlet temperature difference). For air-cooling concepts with high QITD, one must focus on heat transfer devices with relatively high heat transfer coefficients (100–150 W/m2/K) at air flow rates of 300–400 m3/h, low flow induced noise, and low-pressure drops. This can be achieved by using turbulators, such as delta winglets. The results show that the design concepts based on delta winglets can achieve QITD of greater than 150 W/K.

Current-Split Estimation in Li-Ion Battery Pack: An Enhanced Weighted Recursive Filter Method

2015 ◽  
Vol 1 (4) ◽  
pp. 402-412 ◽  
Author(s):  
Haris M. Khalid ◽  
Qadeer Ahmed ◽  
Jimmy C.-H. Peng ◽  
Giorgio Rizzoni
Keyword(s):  
Battery Pack ◽  
Filter Method ◽  
Li Ion Battery ◽  
Recursive Filter ◽  
Li Ion

A Methodological Approach for Supporting the Thermal Design of Li-Ion Battery for Customized Electric Vehicles

2014 ◽  
Author(s):  
Daniele Landi ◽  
Paolo Cicconi ◽  
Michele Germani
Keyword(s):  
Thermal Behavior ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Combustion Engine ◽  
Thermal Design ◽  
Battery Pack ◽  
Scale Production ◽  
Li Ion Battery ◽  
Suitable Alternative ◽  
Li Ion

An important issue in the mechanical industry is the reduction of the time to market, in order to meet quickly the customer needs. This goal is very important for SMEs that produce small lots of customized products. In the context of greenhouse gas emissions reduction, vehicles powered by electric motors seem to be the most suitable alternative to the traditional internal combustion engine vehicles. The market of customized electric vehicles is a niche market suitable for SMEs. Nowadays, the energy storage system of an electric vehicle powertrain consists of several Li-ion cells arranged in a container called battery pack. Particularly, the battery unit is considered as the most critical component in electric vehicle, because it impacts on performance and life cycle cost. Currently, the design of a battery pack mostly depends on the related market size. A longer design time is expected in the case of a large scale production. While a small customized production requires more agility and velocity in the design process. The proposed research focuses on a design methodology to support the designer in the evaluation of the battery thermal behavior. This work has been applied in the context of a customized small production. As test case, an urban electric light commercial vehicle has been analyzed. The designed battery layout has been evaluated and simulated using virtual prototyping tools. A cooling configuration has been analyzed and then prototyped in a physical vehicle. The virtual thermal behavior of a Li-ion battery has been validated at the test bench. The real operational conditions have been analyzed reproducing several ECE-15 driving cycles and many acceleration runs at different load values. Thermocouples have measured the temperature values during the physical experiments, in order to validate the analytical thermal profile evaluated with the proposed design approach.

scholarly journals Reliability Analysis of Different Cell Configurations of Lithium ion battery Pack

2019 ◽  
Vol 18 (2) ◽  
pp. 49-56
Author(s):  
Md. Nahian Al Subri Ivan ◽  
Sujit Devnath ◽  
Rethwan Faiz ◽  
Kazi Firoz Ahmed
Keyword(s):  
Mathematical Model ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Series Configuration ◽  
Li Ion ◽  
Parallel Module ◽  
The Mathematical Model ◽  
Parallel Series

To infer and predict the reliability of the remaining useful life of a lithium-ion (Li-ion) battery is very significant in the sectors associated with power source proficiency. As an energy source of electric vehicles (EV), Li-ion battery is getting attention due to its lighter weight and capability of storing higher energy. Problems with the reliability arises while li-ion batteries of higher voltages are required. As in this case several li-ion cells areconnected in series and failure of one cell may cause the failure of the whole battery pack. In this paper, Firstly, the capacity degradation of li-ion cells after each cycle is observed and secondly with the help of MATLAB 2016 a mathematical model is developed using Weibull Probability Distribution and Exponential Distribution to find the reliability of different types of cell configurations of a non-redundant li-ion battery pack. The mathematical model shows that the parallel-series configuration of cells is more reliable than the series configuration of cells. The mathematical model also shows that if the discharge rate (C-rate) remains constant; there could be an optimum number for increasing the cells in the parallel module of a parallel-series onfiguration of cells of a non-redundant li-ion battery pack; after which only increasing the number of cells in parallel module doesn’t increase the reliability of the whole battery pack significantly. 

Li-Ion Battery Pack and Applications

2015 ◽  
pp. 455-476 ◽  
Author(s):  
Michael S. Mazzola ◽  
Masood Shahverdi
Keyword(s):  
Battery Pack ◽  
Li Ion Battery ◽  
Li Ion
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