Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm

2011 ◽  
Author(s):  
Mohsen Mousavi ◽  
Shaikh Hoque ◽  
Shahryar Rahnamayan ◽  
Ibrahim Dincer ◽  
Greg F. Naterer
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Electric Vehicles ◽  
Cooling System ◽  
Battery Pack ◽  
Air Cooling ◽  
Li Ion Battery ◽  
Air Cooling System ◽  
Li Ion

Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm

2015 ◽  
Vol 76 ◽  
pp. 449-461 ◽  
Author(s):  
Mehdi A. Ehyaei ◽  
Mojtaba Tahani ◽  
Pouria Ahmadi ◽  
Mohammad Esfandiari
Keyword(s):  
Genetic Algorithm ◽  
Power Plants ◽  
Cooling System ◽  
Combined Cycle ◽  
Air Cooling ◽  
Air Cooling System

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 Design of an Optimized Thermal Management System for Li-Ion Batteries under Different Discharging Conditions

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5695 ◽  
Author(s):  
Ankur Bhattacharjee ◽  
Rakesh K. Mohanty ◽  
Aritra Ghosh
Keyword(s):  
Thermal Management ◽  
Cooling System ◽  
Peak Temperature ◽  
Air Cooling ◽  
Li Ion Batteries ◽  
Li Ion Battery ◽  
Liquid Cooling ◽  
Thermal Management System ◽  
Li Ion ◽  
Liquid Cooling System

The design of an optimized thermal management system for Li-ion batteries has challenges because of their stringent operating temperature limit and thermal runaway, which may lead to an explosion. In this paper, an optimized cooling system is proposed for kW scale Li-ion battery stack. A comparative study of the existing cooling systems; air cooling and liquid cooling respectively, has been carried out on three cell stack 70Ah LiFePO4 battery at a high discharging rate of 2C. It has been found that the liquid cooling is more efficient than air cooling as the peak temperature of the battery stack gets reduced by 30.62% using air cooling whereas using the liquid cooling method it gets reduced by 38.40%. The performance of the liquid cooling system can further be improved if the contact area between the coolant and battery stack is increased. Therefore, in this work, an immersion-based liquid cooling system has been designed to ensure the maximum heat dissipation. The battery stack having a peak temperature of 49.76 °C at 2C discharging rate is reduced by 44.87% to 27.43 °C after using the immersion-based cooling technique. The proposed thermal management scheme is generalized and thus can be very useful for scalable Li-ion battery storage applications also.

A new concept of thermal management system in Li-ion battery using air cooling and heat pipe for electric vehicles

2020 ◽  
Vol 174 ◽  
pp. 115280 ◽  
Author(s):  
Hamidreza Behi ◽  
Danial Karimi ◽  
Mohammadreza Behi ◽  
Morteza Ghanbarpour ◽  
Joris Jaguemont ◽  
...  
Keyword(s):  
Heat Pipe ◽  
Thermal Management ◽  
Electric Vehicles ◽  
Management System ◽  
Air Cooling ◽  
Li Ion Battery ◽  
Thermal Management System ◽  
Li Ion

Temperature Distribution Optimization of an Air-Cooling Lithium-Ion Battery Pack in Electric Vehicles Based on the Response Surface Method

2019 ◽  
Vol 16 (4) ◽  
Author(s):  
Xiangping Liao ◽  
Chong Ma ◽  
Xiongbin Peng ◽  
Akhil Garg ◽  
Nengsheng Bao
Keyword(s):  
Temperature Distribution ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Cooling System ◽  
Lithium Ion ◽  
Battery Pack ◽  
Maximum Temperature ◽  
Air Cooling ◽  
Optimized Design ◽  
Original Design

Electric vehicles have become a trend in recent years, and the lithium-ion battery pack provides them with high power and energy. The battery thermal system with air cooling was always used to prevent the high temperature of the battery pack to avoid cycle life reduction and safety issues of lithium-ion batteries. This work employed an easily applied optimization method to design a more efficient battery pack with lower temperature and more uniform temperature distribution. The proposed method consisted of four steps: the air-cooling system design, computational fluid dynamics code setups, selection of surrogate models, and optimization of the battery pack. The investigated battery pack contained eight prismatic cells, and the cells were discharged under normal driving conditions. It was shown that the optimized design performs a lower maximum temperature of 2.7 K reduction and a smaller temperature standard deviation of 0.3 K reduction than the original design. This methodology can also be implemented in industries where the battery pack contains more battery cells.

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