Surrogate Based Multi-Objective Optimization of J-Type Battery Thermal Management System

2018 ◽  
Author(s):  
Yuanzhi Liu ◽  
Payam Ghassemi ◽  
Souma Chowdhury ◽  
Jie Zhang
Keyword(s):  
Energy Efficiency ◽  
Thermal Management ◽  
Management System ◽  
Type Systems ◽  
Maximum Temperature ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System

This paper proposes a novel and flexible J-type air-based battery thermal management system (BTMS), by integrating conventional Z-type and U-type BTMS. With two controlling valves, the J-type BTMS can be adaptively controlled in real time to help balance the temperature uniformity and energy efficiency under various charging/discharging situations (especially extreme fast changing). Results of computational fluid dynamics simulations show that the J-type system performs better than the U-type and Z-type systems. To further improve the thermal performance of the proposed J-type BTMS, a surrogate-based multi-objective optimization is performed, with the consideration of the two major objectives, i.e., uniformity and energy efficiency. The concurrent surrogate selection (COSMOS) framework is adopted in this paper to determine the most suitable surrogate models. Optimization results show that: (i) the uniformity of the temperature distribution is improved by 38.6% compared to the benchmark, (ii) the maximum temperature is reduced by 19.1%, and (iii) the pressure drop is decreased by 14.5%.

A Framework of Optimal Design of Thermal Management System for Lithium-Ion Battery Pack Using Multi-Objectives Optimization

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Xiangping Liao ◽  
Chong Ma ◽  
Xiongbin Peng ◽  
Yuwu Li ◽  
Lianfeng Duan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Optimal Design ◽  
Thermal Management ◽  
Management System ◽  
Battery Pack ◽  
Maximum Temperature ◽  
Multi Objective Optimization ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System

Abstract Battery thermal management system is critical to prevent the battery pack from such safety issues as overheating, thermal runaway, and spontaneous combustion. Many research works have been done to improve the thermal performance of the thermal management system by reducing the maximum temperature of the battery pack. However, the temperature difference and energy consumption were not discussed in most of the researches. This paper proposed a framework of optimal design of the battery thermal management system using surrogate model and multi-objective optimization methodology. The accuracy of this method was then validated through two cases. The proposed framework aims to find a way to design a battery pack with at least two types of the following objectives: the smallest maximum temperature, smallest temperature deviation, and the lowest energy consumption. The framework can be divided into five steps: the structural design of the battery thermal management system; the fluid–solid coupled heat transfer modeling using computational fluid dynamics (CFD) method; the design of experiments and selection of surrogate models; the multi-objective optimization algorithm based on Pareto optimal solution; and the experimental verification. The optimized designs showed significant improvement by decreasing both the temperature rise and the energy consumption.

scholarly journals Thermal Performance of a Cylindrical Lithium-Ion Battery Module Cooled by Two-Phase Refrigerant Circulation

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8094
Author(s):  
Bichao Lin ◽  
Jiwen Cen ◽  
Fangming Jiang
Keyword(s):  
Thermal Management ◽  
Management System ◽  
Cooling System ◽  
Maximum Temperature ◽  
Two Phase ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Li Ion ◽  
Battery Module

It is important for the safety and good performance of a Li-ion battery module/pack to have an efficient thermal management system. In this paper, a battery thermal management system with a two-phase refrigerant circulated by a pump was developed. A battery module consisting of 240 18650-type Li-ion batteries was fabricated based on a finned-tube heat-exchanger structure. This structural design offers the potential to reduce the weight of the battery thermal management system. The cooling performance of the battery module was experimentally studied under different charge/discharge C-rates and with different refrigerant circulation pump operation frequencies. The results demonstrated the effectiveness of the cooling system. It was found that the refrigerant-based battery thermal management system could maintain the battery module maximum temperature under 38 °C and the temperature non-uniformity within 2.5 °C for the various operation conditions considered. The experimental results with 0.5 C charging and a US06 drive cycle showed that the thermal management system could reduce the maximum temperature difference in the battery module from an initial value of 4.5 °C to 2.6 °C, and from the initial 1.3 °C to 1.1 °C, respectively. In addition, the variable pump frequency mode was found to be effective at controlling the battery module, functioning at a desirable constant temperature and at the same time minimizing the pump work consumption.

Battery Thermal Management System Design: Role of Influence of Nanofluids, Flow Directions, and Channels

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Sanjay Srinivaas ◽  
Wei Li ◽  
Akhil Garg ◽  
Xiongbin Peng ◽  
Liang Gao
Keyword(s):  
Pressure Drop ◽  
Thermal Management ◽  
Temperature Rise ◽  
Management System ◽  
Battery Pack ◽  
Maximum Temperature ◽  
Temperature Deviation ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System

Abstract Lithium-ion batteries are currently being produced and used in large quantities in the automobile sector as a clean alternative to fossil fuels. The thermal behavior of the battery pack is a very important criterion, which is not only essential for safety but also has an equally important role in the capacity and life cycle of the batteries. The liquid battery thermal management system is a very efficient type of thermal management system, and mini-channel-based liquid cooling systems are one of the most popular type of the battery thermal management system and have been researched extensively. This paper mainly intends to study the effects of tapering, the addition of grooves to the channel, the use of different nanofluids, and the flow direction of coolant on the thermal performance of the battery pack using a three-dimensional computational fluid dynamics model. The results suggest that converging channels can be used to control the temperature rise, while diverging channels can be used to control the temperature deviation. The addition of grooves and the use of nanofluids were beneficial in reducing the temperature rise. The final setups were able to reduce the maximum temperature rise by 2.267 K with a substantial pressure drop increase and by 1.513 K with an increase in pressure drop of only 19.92%.

Multi objective optimization of structural parameters of air-cooled system for lithium battery pack based on surrogate model

2021 ◽  
pp. 1-24
Author(s):  
Nengsheng Bao ◽  
Wei Li ◽  
Ma Chong ◽  
Fan Yuchen ◽  
Li Tuyan
Keyword(s):  
Electric Vehicle ◽  
Thermal Management ◽  
Management System ◽  
Lithium Battery ◽  
Optimization Method ◽  
Battery Pack ◽  
Maximum Temperature ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Thermal Management System

Abstract The new energy electric vehicle, which takes clean electric energy as the main driving force, has no pollutants and exhaust emissions during its operation. And has a higher energy utilization ratio than the fuel locomotive. Therefore, electric vehicles have been widely developed in recent years. The maximum temperature and temperature consistency of battery pack in electric vehicle have great influence on the life and safety of battery. In this paper, the thermal management system of lithium battery pack was taken as the research object. The temperature distribution and uniformity of battery pack under different heat dissipation conditions were analyzed based on computational fluid dynamics (CFD). The multi-objective optimization method of battery pack thermal management system was carried out by combining sur-rogate model with fast non-dominated sorting genetic algorithm (NSGA-II). The maximum temperature of the battery pack obtained from candidate point 1 is 310.72K, which is 4.99K lower than the initial model temperature, and the temperature standard deviation is 0.76K, with a reduction rate of 51.9%. Experiment results showed that maximum difference between the optimized and experimental value of the maximum temperature is 0.8K, and the error was within 1K. Therefore, the multi-objective optimization method proposed in this paper has high accuracy.

Numerical analysis of heat-pipe-based battery thermal management system for prismatic lithium-ion batteries

2021 ◽  
pp. 1-16
Author(s):  
Jianping Cheng ◽  
Shenlong Shuai ◽  
Renchen Zhao ◽  
Zhiguo Tang
Keyword(s):  
Heat Pipe ◽  
Thermal Management ◽  
Management System ◽  
Discharge Rate ◽  
Maximum Temperature ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Battery Module ◽  
Heating Medium

Abstract An effective battery thermal management system (BTMS) is essential for controlling both the maximum temperature and the temperature uniformity of a battery module. In this study, a novel and lightweight BTMS for prismatic batteries based on a heat pipe is proposed. A numerical model is created to study the influence of heat transfer designs and other factors on the thermal performance of the BTMS, and the simulation results are checked experimentally. The results show that when the condensation section of the heat pipe is cooled by liquid, the maximum temperature of the battery (Tmax) is reduced by 18.1% compared with air cooling. Decreasing the coolant temperature can reduce T_max, but can also lead to an undesirable temperature nonuniformity. The T_max and the maximum temperature difference (ΔTmax) in a battery module both increase rapidly as the discharge rate rises. The Tmax and ΔTmax are lower than 40 °C and 5 °C respectively when the discharge rate of the battery is lower than 2C. Under preheating conditions in cold weather, increasing the temperature of the heating medium can improve the temperature of the batteries, but at the same time it can make the battery module's temperature more nonuniform, and also add to cost. The temperature of the heating medium should therefore be selected with care. It could be concluded that the above results can provide perspectives in designing and optimizing battery thermal management system.

scholarly journals A Study of Variable Cell Spacings to the Heat Transfer Efficiency of Air-Cooling Battery Thermal Management System

2021 ◽  
Vol 11 (23) ◽  
pp. 11155
Author(s):  
Gang Zhao ◽  
Xiaolin Wang ◽  
Michael Negnevitsky
Keyword(s):  
Heat Transfer ◽  
Thermal Management ◽  
Management System ◽  
Maximum Temperature ◽  
Air Cooling ◽  
Flow Rates ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System ◽  
Vertical Spacing

The air-cooling battery thermal management system has been widely adopted as the thermal management device for power accumulators on electric vehicles nowadays. To improve the system heat transfer coefficient with the minimum rise in cost, this study modified conventional rectangular cell arrangements for 21,700 cylindrical cell battery packs with two approaches: 1. increase the vertical spacings; 2. convert constant vertical spacings to gradient vertical spacings. The results show that smaller vertical spacings are beneficial to the overall cooling performances of the constant vertical spacings designs at almost all flow rates. The gradient vertical spacing design with larger spacing could deliver better temperature uniformity, while the one with smaller spacings could suppress the maximum temperature more efficiently at higher flow rates. However, the total battery pack volume of Design 7 (the largest gradient vertical spacing design) is 7.5% larger than the conventional design.

scholarly journals Development and Analysis of a New Cylindrical Lithium-Ion Battery Thermal Management System

2021 ◽  
Author(s):  
Ya-Song Sun ◽  
Rui-Huai Bai
Keyword(s):  
Thermal Management ◽  
Electric Vehicles ◽  
Management System ◽  
Optimization Design ◽  
Lithium Ion ◽  
Simulation Software ◽  
Maximum Temperature ◽  
Battery Thermal Management ◽  
Thermal Management System ◽  
Battery Thermal Management System

Abstract With the development of modern technology and economy, environmental protection and sustainable development have become the focus of global attention. In this paper, the promotion and development of electric vehicles have bright prospects, and they are also facing many challenges. Under different operating conditions, various safety problems of electric vehicles are emerging one after another, especially the potential safety hazards caused by battery overheating are threatening the development process of electric vehicles. In this paper, a new type of indirect liquid cooling system is designed and optimized for cylindrical lithium-ion batteries, and a variety of design schemes for different cooling channel structures and cooling liquid inlet direction are proposed, and the corresponding solid-fluid coupling model is established. COMSOL Multiphysics simulation software models, simulates and analyses cooling systems. In order to optimize the system and improve the optimization efficiency, the Kriging method is used to construct an approximation model of the thermal management system, and the influencing factors sensitivity analysis and optimization design of the thermal management system are also conducted. The results show that there has a significant influence on the maximum temperature and temperature difference of the battery system. According to the optimization design of these factors based on the Non-dominated Sorting Genetic Algorithm (NSGA-II), it is found that the optimized thermal management system has the best ability to dissipate heat and maintain temperature uniformity as compared to the original design. In addition, this optimization system has the ability to prevent thermal runaway propagation under the condition of thermal abuse conditions. With these prominent performances, the proposed method is expected to provide insights into the engineering design and optimization of the battery thermal management system for electric vehicle.

Sign in / Sign up

Export Citation Format

Share Document