Thermal analysis and pack level design of battery thermal management system with liquid cooling for electric vehicles

2019 ◽  
Vol 196 ◽  
pp. 105-116 ◽  
Author(s):  
Yoong Chung ◽  
Min Soo Kim
Keyword(s):  
Thermal Analysis ◽  
Thermal Management ◽  
Electric Vehicles ◽  
Management System ◽  
Liquid Cooling ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Level Design

scholarly journals Hybrid Battery Thermal Management System in Electrical Vehicles: A Review

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6257
Author(s):  
Chunyu Zhao ◽  
Beile Zhang ◽  
Yuanming Zheng ◽  
Shunyuan Huang ◽  
Tongtong Yan ◽  
...  
Keyword(s):  
Thermal Management ◽  
Management System ◽  
Air Cooling ◽  
Liquid Cooling ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Cooling Phase ◽  
Li Ion ◽  
Forced Air

The Li-ion battery is of paramount importance to electric vehicles (EVs). Propelled by the rapid growth of the EV industry, the performance of the battery is continuously improving. However, Li-ion batteries are susceptible to the working temperature and only obtain the optimal performance within an acceptable temperature range. Therefore, a battery thermal management system (BTMS) is required to ensure EVs’ safe operation. There are various basic methods for BTMS, including forced-air cooling, liquid cooling, phase change material (PCM), heat pipe (HP), thermoelectric cooling (TEC), etc. Every method has its unique application condition and characteristic. Furthermore, based on basic BTMS, more hybrid cooling methods adopting different basic methods are being designed to meet EVs’ requirements. In this work, the hybrid BTMS, as a more reliable and environmentally friendly method for the EVs, will be compared with basic BTMS to reveal its advantages and potential. By analyzing its cost, efficiency and other aspects, the evaluation criterion and design suggestions are put forward to guide the future development of BTMS.

scholarly journals Induction Heater Based Battery Thermal Management System for Electric Vehicles

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5711
Author(s):  
Waseem Raza ◽  
Gwang Soo Ko ◽  
Youn Cheol Park
Keyword(s):  
Heat Transfer ◽  
Thermal Management ◽  
Electric Vehicles ◽  
Management System ◽  
Lithium Ion ◽  
Cold Climate ◽  
Induction Heater ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System

The life and efficiency of electric vehicle batteries are susceptible to temperature. The impact of cold climate dramatically decreases battery life, while at the same time increasing internal impedance. Thus, a battery thermal management system (BTMS) is vital to heat and maintain temperature range if the electric vehicle’s batteries are operating in a cold climate. This paper presents an induction heater-based battery thermal management system that aims to ensure thermal safety and prolong the life cycle of Lithium-ion batteries (Li-Bs). This study used a standard simulation tool known as GT-Suite to simulate the behavior of the proposed BTMS. For the heat transfer, an indirect liquid heating method with variations in flow rate was considered between Lithium-ion batteries. The battery and cabin heating rate was analyzed using the induction heater powers of 2, 4, and 6 kW at ambient temperatures of −20, −10, and 0 °C. A water and ethylene glycol mixture with a ratio of 50:50 was considered as an operating fluid. The findings reveal that the thermal performance of the proposed system is generally increased by increasing the flow rate and affected by the induction heater capacity. It is evident that at −20 °C with 27 LPM and 6 kW heater capacity, the maximum heat transfer rate is 0.0661 °C/s, whereas the lowest is 0.0295 °C/s with 2 kW heater capacity. Furthermore, the proposed BTMS could be a practical approach and help to design the thermal system for electric vehicles in the future.

Optimization for Liquid Cooling Cylindrical Battery Thermal Management System Based on Gaussian Process Model

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Wei Li ◽  
Akhil Garg ◽  
Mi Xiao ◽  
Liang Gao
Keyword(s):  
Pressure Drop ◽  
Gaussian Process ◽  
Thermal Management ◽  
Management System ◽  
Process Model ◽  
Liquid Cooling ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Gp Model

Abstract The power of electric vehicles (EVs) comes from lithium-ion batteries (LIBs). LIBs are sensitive to temperature. Too high and too low temperatures will affect the performance and safety of EVs. Therefore, a stable and efficient battery thermal management system (BTMS) is essential for an EV. This article has conducted a comprehensive study on liquid-cooled BTMS. Two cooling schemes are designed: the serpentine channel and the U-shaped channel. The results show that the cooling effect of two schemes is roughly the same, but the U-shaped channel can significantly decrease the pressure drop (PD) loss. The U-shaped channel is parameterized and modeled. A machine learning method called the Gaussian process (GP) model has been used to express the outputs such as temperature difference, temperature standard deviation, and pressure drop. A multi-objective optimization model is established using GP models, and the NSGA-II method is employed to drive the optimization process. The optimized scheme is compared with the initial design. The main findings are summarized as follows: the velocity of cooling water v decreases from 0.3 m/s to 0.22 m/s by 26.67%. Pressure drop decreases from 431.40 Pa to 327.11 Pa by 24.18%. The optimized solution has a significant reduction in pressure drop and helps to reduce parasitic power. The proposed method can provide a useful guideline for the liquid cooling design of large-scale battery packs.

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