Article
Engineering, Multidisciplinary
Yuqian Fan, Pengxiang Lyu, Di Zhan, Konglei Ouyang, Xiaojun Tan, Jun Li
Summary: This paper introduces a new method for the design of battery thermal management systems using a compound surrogate model and a multiobjective optimization algorithm. The results show that this method can find optimal structural parameters that meet the requirements, providing guidance for practical designs.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
Article
Thermodynamics
Yefei Xu, Hengyun Zhang, Xiaobin Xu, Xiaolin Wang
Summary: This paper investigates the air-cooled battery module with a thermally conductive heat spreading plate (HSP) and successfully enhances the cooling performance of the battery module through multi-objective optimization.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Mechanics
Mengli Ye, Hao Li, Xiwen Cai, Liang Gao, Anfu Zhang, Zhigao Zhao
Summary: This study proposes an efficient progressive design framework for the optimization of gradually stiffer metamaterials, incorporating topology optimization, parametric optimization, and experiment analysis. Compared to traditional methods, the progressive design reduces complexity and improves efficiency in designing metamaterials. By utilizing topology optimization, parametric optimization, and additive manufacturing, this approach demonstrates effectiveness in devising metamaterials with specific performance characteristics.
COMPOSITE STRUCTURES
(2021)
Article
Energy & Fuels
Cheng Zhang, Yue Guo, Chongming Wang, Shen Li, Oliver Curnick, Tazdin Amietszajew, Rohit Bhagat
Summary: This paper proposes a novel DoE method that combines partial discharge test and deep discharge test to improve the accuracy of equivalent circuit models for lithium-ion batteries. Experimental results show that the new method can significantly reduce the root mean square error and improve the accuracy of SoC estimation compared to traditional DoE methods.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Mathematics
Hau T. Mai, Jaewook Lee, Joowon Kang, H. Nguyen-Xuan, Jaehong Lee
Summary: This paper presents an improved surrogate blind Kriging (IBK) and a combined infill strategy to solve constrained expensive black-box optimization problems. By enhancing the prediction accuracy of metamodels and updating them with an infill strategy, IBK can efficiently find the optimal solution and has been successfully applied to structural design optimization.
Article
Computer Science, Interdisciplinary Applications
Yang Zhang, Hongling Ye, Bowen Li, Qingsheng Yang
Summary: The research optimized the bistable structure by analyzing mechanical performance and surrogate models, selected optimal design variables, established an optimization model, and developed an improved genetic algorithm to solve the optimal model, ultimately achieving a bistable structure with maximum load-bearing capacity.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Aerospace
He Zhu, Dongdong Li, Hong Nie, Xiaohui Wei, Yuanzun Wei
Summary: This study proposes a surrogate-model-based multiobjective optimization method to optimize the novel octocopter structural design schemes. The method effectively reduces the cost of computations and provides a global prediction of octocopter performance. The results show that the proposed optimization design method is feasible and exhibits good performance, providing guidelines for structural parameter design optimization for multiple-rotor aircraft.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Thermodynamics
Masoume Shabani, Erik Dahlquist, Fredrik Wallin, Jinyue Yan
Summary: This study investigates the techno-economic impacts of two battery modelling scenarios on the sizing and optimization of a grid-connected PV-battery system. The results show that system optimization based on a complex battery model is more beneficial and can provide more power to the end-user compared to a simple battery model scenario.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Chen Liu, Bao Amei, Zhang Yi, Chen Dawei, Guan Junjun, Dai Ren
Summary: The exit shape of a fan-shaped hole is crucial for improving film cooling effectiveness. In this study, a fan-shaped cooling hole on a flat plate with unusually large lateral span was optimized using Reynolds Averaged Navier-Stokes (RANS) analysis. A novel hole design was created with four linear dimensions, and a surrogate model was built to predict the film cooling effectiveness of new candidates. The optimized design demonstrated enhanced cooling effectiveness, which was verified through an experiment.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Lixin Wang, Yankong Song, Chao Lyu, Dazhi Yang, Wenting Wang
Summary: In this article, a two-step surrogate model is proposed to optimize the structure of the liquid cooling system in the battery thermal management system in order to balance performance and cost. Experimental results show that the two-step surrogate model reduces the construction time and slightly increases the mean absolute error compared to the conventional single-step surrogate model.
APPLIED THERMAL ENGINEERING
(2023)
Article
Chemistry, Physical
Mohammad Alipour, Litao Yin, Shiva Sander Tavallaey, Anna Mikaela Andersson, Daniel Brandell
Summary: This paper proposes an uncertainty quantification analysis on a coupled electrochemical-thermal aging model to improve the reliability of a battery model, while also investigating the impact of parametric model uncertainties on battery voltage, temperature, and aging. A surrogate model based on Gaussian process regression (GPR) and principle component analysis (PCA) is built to address the high computing cost of the coupled model. The results show that the uncertainties in the input parameters significantly affect the estimations of battery voltage, temperature, and aging, and this approach is helpful for developing robust and reliable high-fidelity battery aging models.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Congbo Li, Yongsheng Li, Liang Gao, Akhil Garg, Wei Li
Summary: This paper focuses on analyzing the air cooling battery thermal management system for lithium-ion batteries used in electric vehicles. By proposing a new heat dissipation method and establishing a multi-objective optimization model, the research successfully improves the heat dissipation effect of the battery modules and controls the cooling cost effectively.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Construction & Building Technology
Yihan Wu, Qingming Zhan, Steven Jige Quan, Yuli Fan, Yu Yang
Summary: The research team utilized an advanced surrogate-assisted evolutionary optimization algorithm combined with a parametric design module to create a seven-step scheme for optimizing microclimate-sensitive urban design problems. Through testing in a hypothetical case, they successfully obtained a near-optimal site plan aimed at maximizing project profits and enhancing a comfortable wind environment.
BUILDING AND ENVIRONMENT
(2021)
Article
Computer Science, Hardware & Architecture
Chunyan Ling, Way Kuo, Min Xie
Summary: This study reviews the advantages and disadvantages of using surrogate models to streamline reliability-based design optimization (RBDO), as well as discussing the problems that need to be solved.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Energy & Fuels
Moritz Streb, Mathilda Ohrelius, Matilda Klett, Goran Lindbergh
Summary: This study presents an algorithmic method for designing current input signals to optimize parameter identifiability from voltage measurements in Li-ion batteries. The proposed approach significantly improves model performance and parameter accuracy, while lowering experimental burden.
JOURNAL OF ENERGY STORAGE
(2022)