Multi-objective optimization of a liquid cooled battery module with collaborative heat dissipation in both axial and radial directions

2020 ◽  
Vol 155 ◽  
pp. 119701 ◽  
Author(s):  
Zehua Zhu ◽  
Xiaoyu Wu ◽  
Hengyun Zhang ◽  
Yun Guo ◽  
Guoping Wu
Keyword(s):  
Heat Dissipation ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Battery Module

Equitable Multi-Objective Optimization Applied to the Design of a Hybrid Electric Vehicle Battery

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Brian Dandurand ◽  
Paolo Guarneri ◽  
Georges Fadel ◽  
Margaret M. Wiecek
Keyword(s):  
Thermal Behavior ◽  
Hybrid Electric Vehicle ◽  
Multi Objective Optimization ◽  
Premature Failure ◽  
Multi Objective ◽  
Battery Design ◽  
Electric Vehicle Battery ◽  
The Impact ◽  
Battery Module ◽  
The Ideal

This work considers the impact of thermal behavior in battery design. The cell performance worsens when the operating temperature falls outside of the ideal range, and evenness of cell temperatures is sought to prevent cell electrical unbalance which may lead to performance fading and premature failure. The heat transfer between the cells and the coolant depends on the cell packaging and layout. A multi-objective optimization model is posed whose Pareto efficient designs minimize cell temperature deviations while maintaining evenness of temperature distribution. The special characteristics of the battery design problem (comparable objectives, anonymity and Pigou–Dalton principle of transfers) make it suitable for the application of the equitability preference, which is a refinement of the Pareto optimality that has not been used in engineering design. The proposed approach based on equitability is applied to compute the spacing of the cylindrical cells in a battery module that yields an optimal thermal behavior.

scholarly journals Simulation and Multi-Objective Optimization of the Vehicle Thermal Management System of Electric Cars

2021 ◽  
Vol 39 (3) ◽  
pp. 969-978
Author(s):  
Fei Zhao ◽  
Xiaowei Li ◽  
Jiangli Hou
Keyword(s):  
Thermal Management ◽  
High Speed ◽  
Heat Dissipation ◽  
Cooling System ◽  
Thermal Adaptation ◽  
Multi Objective Optimization ◽  
Electric Cars ◽  
Multi Objective ◽  
Engine Cooling ◽  
Medium Speed

The research on the vehicle thermal management (VTM) system is very important for ensuring the driving reliability of electric cars, however, currently there’re few research concerned about this topic, and the existing ones mostly focus on matching and optimizing parameters to improve the management of driving kinetic energy, and the heat dissipation and cooling performance of the cars; however, there isn’t a uniform standard for evaluating these performances, and the research on closed thermal energy management and control based on the evaluation results is pending. This paper studied the simulation and multi-objective optimization of the VTM system of electric cars, and proposed accurate methods and ideas for evaluating the heat dissipation efficiency of the engine cooling system, the cooling efficiency of the air conditioning system, and the thermal management performance of the VTM of electric cars. Based on the model predictive control (MPC) algorithm of vehicle motion control, this paper constructed temperature control optimization objective functions for electric cars under various thermal adaptation working conditions such as low-speed slope climbing, medium-speed gentle slope climbing, high-speed driving, and idling; and it designed several strategies for the coordinated control of the VTM system of electric cars. At last, this paper used test results to verify the effectiveness of the proposed strategies.

scholarly journals Multi-Objective Optimization for Grinding of AISI D2 Steel with Al2O3 Wheel under MQL

Materials ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2269 ◽  
Author(s):  
Aqib Mashood Khan ◽  
Muhammad Jamil ◽  
Mozammel Mia ◽  
Danil Yurievich Pimenov ◽  
Vadim Rashitovich Gasiyarov ◽  
...  
Keyword(s):  
Flow Rate ◽  
Heat Dissipation ◽  
Cutting Speed ◽  
Surface Grinding ◽  
Depth Of Cut ◽  
Multi Objective Optimization ◽  
Aisi D2 Steel ◽  
Multi Objective ◽  
Aisi D2 ◽  
D2 Steel

In the present study, the machinability indices of surface grinding of AISI D2 steel under dry, flood cooling, and minimum quantity lubrication (MQL) conditions are compared. The comparison was confined within three responses, namely, the surface quality, surface temperature, and normal force. For deeper insight, the surface topography of MQL-assisted ground surface was analyzed too. Furthermore, the statistical analysis of variance (ANOVA) was employed to extract the major influencing factors on the above-mentioned responses. Apart from this, the multi-objective optimization by Grey–Taguchi method was performed to suggest the best parameter settings for system-wide optimal performance. The central composite experimental design plan was adopted to orient the inputs wherein the inclusion of MQL flow rate as an input adds addition novelty to this study. The mathematical models were formulated using Response Surface Methodology (RSM). It was found that the developed models are statistically significant, with optimum conditions of depth of cut of 15 µm, table speed of 3 m/min, cutting speed 25 m/min, and MQL flow rate 250 mL/h. It was also found that MQL outperformed the dry as well as wet condition in surface grinding due to its effective penetration ability and improved heat dissipation property.

Optimization investigation on the liquid cooling heat dissipation structure for the lithium-ion battery package in electric vehicles

2017 ◽  
Vol 231 (13) ◽  
pp. 1735-1750 ◽  
Author(s):  
Jinhong Xie ◽  
Mengyan Zang ◽  
Shuangfeng Wang ◽  
Zijing Ge
Keyword(s):  
Electric Vehicles ◽  
Heat Dissipation ◽  
Lithium Ion ◽  
Maximum Temperature ◽  
Multi Objective Optimization ◽  
Liquid Cooling ◽  
Cooling Plate ◽  
Multi Objective ◽  
Dissipation Structure ◽  
Single Objective

The requirements of cooling and weight reduction for lithium-ion battery packages in electric vehicles are increasingly important. In this paper, a liquid cooling heat dissipation structure is designed and optimized. First of all, the effects of tube diameter, spacing, thickness and layout of the cooling plate on the heat dissipation of the battery package are investigated by using computational fluid dynamics. Afterwards, based on the optimal results of the single factor analysis, an orthogonal table with four factors and three levels are constructed to perform a single-objective optimization, where the minimization of the maximum temperature is the optimization object. Meanwhile, an experiment is carried out to verify the accuracy of the simulation model. In order to further reduce the mass of the cooling plate, a multi-objective optimization is performed, where the minimization of the maximum temperature and the mass are the optimization objects. The maximum temperature is increased by 10.9% in the multi-objective optimization when compared with that in the single objective optimization. However, the mass of the cooling plate in the multi-objective optimization can drop by 82.4%.

Sign in / Sign up

Export Citation Format

Share Document