Article
Energy & Fuels
Mao-Sung Wu
Summary: The forced air cooling of U-type BTMS can be improved by adjusting the distribution of battery spacing and inlet/outlet manifolds. Computational fluid dynamics is used to calculate the temperature and velocity distributions. Multi-objective optimization is performed to minimize temperature difference and fan power consumption. The optimized BTMS module reduces the temperature and temperature difference while maintaining low power consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Akshay B. Padalkar, Mangesh B. Chaudhari, Kiran B. Kore, Shivkumar R. Newaskar, Dhanaraj S. Nilegave, Adinath M. Funde
Summary: This study aims to improve the forced air cooling effectiveness for high-capacity batteries at high discharge rates, reducing auxiliary power consumption without compromising the compactness of the battery pack. By using circumferential fins, the surface area of the battery pack is increased, improving heat dissipation and reducing auxiliary power consumption.
APPLIED THERMAL ENGINEERING
(2024)
Article
Energy & Fuels
Jieyu Sun, Siqi Chen, Kai Shen, Yuejiu Zheng
Summary: This study investigates the temperature control and thermal uniformity issues of a bottom liquid cooling plate based-CTP battery module under fast charging using experiments and CFD analysis. A liquid cooling control method is proposed to optimize temperature uniformity, and its effectiveness is compared at different intervals. The results show that flow rate and temperature have a positive impact on battery temperature, while coolant temperature increment increases the maximum temperature difference. Reversing flow enhances cooling effect, particularly for thermal uniformity improvement.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Chemistry, Physical
Yu Shi, Shakeel Ahmad, Huaqiang Liu, Kwun Ting Lau, Jiyun Zhao
Summary: This study utilized an artificial intelligence model and computational fluid dynamics simulations to optimize the air-cooling design of a battery thermal management system, resulting in a significant reduction in maximum temperature and temperature differences within the battery pack.
JOURNAL OF POWER SOURCES
(2021)
Article
Energy & Fuels
Xinke Li, Jiapei Zhao, Jinliang Yuan, Jiabin Duan, Chaoyu Liang
Summary: This paper aims to analyze and improve the cooling effect of battery cells by optimizing airflow configuration and layout in U-type air-cooling BTMS through modeling and numerical simulation method. Results show that the best cooling performance is achieved when the number of inlet and outlet manifolds is increased to three in the selected designs. The obtained optimum design is further analyzed to confirm its applicability in a wider range of total inlet airflow rates and temperatures.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Hao Lu, Xiaole Tang
Summary: A new flexible optimization strategy for a battery thermal management system is proposed in this study, which combines system volume and cooling performance to determine the appropriate optimized structure for engineering applications. Numerical simulation based on computational fluid dynamics (CFD) is used to verify the cooling performance of the optimized system. Compared to three existing designs, the proposed system reduces volume by up to 13.01%, decreases maximum temperature difference by 65.79%, 40.65%, and 63.69%, and increases temperature uniformity by 65.87%, 34.93%, and 60.80% respectively. In the unsteady heat generation of the battery pack at 5C discharge rate, the maximum temperature difference decreases by 2.28 K, and the maximum temperature difference and temperature uniformity decrease by 57.11% and 49.15% respectively.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Kartik Kumar, Jahar Sarkar, Swasti Sundar Mondal
Summary: This study analyzes the effect of a novel-designed thermal management system on cylindrical Li-ion battery packs from an energy-exergy viewpoint, and investigates the influence of ternary hybrid nanofluids and microchannel cross-sectional shape on battery performance.
Article
Energy & Fuels
Yi Xie, Yujie Liu, Michael Fowler, Manh-Kien Tran, Satyam Panchal, Wei Li, Yangjun Zhang
Summary: This study proposes a method for optimizing the air channels in a scooter battery pack and demonstrates its ability to improve the thermal performance, SOC distribution, and lifespan of the battery pack through experiments.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Chemical
Chanyang Kim, Jaeyoung Han, Seokmoo Hong
Summary: In this study, different layouts were designed to improve the cooling performance of electric vehicle batteries. The results show that a spoiler model can effectively reduce the maximum battery temperature and improve temperature distribution.
Article
Energy & Fuels
Gang Li, Guangming Xu, Yaping Ding, Zhiqiang Huang, Xueying Yang, Lei Ma
Summary: The study focused on developing and evaluating two liquid-cooling structures to improve the safety and cycle life of lithium-ion batteries for electric-driven vibroseis. Results indicated that the double-inlet-double-outlet liquid-cooling structure could better meet the thermal performance evaluation indexes.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Physics, Multidisciplinary
Jianglong Du, Haolan Tao, Yuxin Chen, Xiaodong Yuan, Cheng Lian, Honglai Liu
Summary: The study employs a multiscale method to investigate the thermal performance of battery packs, finding that the square arrangement has the best air-cooling effect, especially when the cold air inlet is at the top of the battery pack.
CHINESE PHYSICS LETTERS
(2021)
Article
Energy & Fuels
Sarawut Sirikasemsuk, Songkran Wiriyasart, Paisarn Naphon, Nittaya Naphon
Summary: This study investigates the thermal characteristics of a 18650-type lithium-ion battery pack with a thermoelectric module using ferrofluid as a coolant. The experimental results show that the thermoelectric cooling system significantly decreases the battery temperature, especially with varying parameters, particularly the concentration of ferrofluid, having a significant effect on reducing battery temperature.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Yunjian Li, Kuining Li, Yi Xie, Bin Liu, Jiangyan Liu, Jintao Zheng, Wei Li
Summary: This study proposes a comprehensive charging strategy for battery packs considering charging time, aging, and energy loss, optimized with a genetic algorithm. The results show that while the fast charging strategy can significantly reduce charging time, it can also lead to aging and increased energy loss.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Wenxu Yang, Ying Wang, Funan Guo, Yuanqi Bai, Xing Liu
Summary: This paper establishes a three-dimensional model to investigate the effects of different intervals on battery cooling performance, and optimizes the battery pack configuration using the Design of Experiment method. The results show that the optimized configuration improves temperature distribution and reduces temperature differences.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Furen Zhang, Mengfei Yi, Pengwei Wang, Chongwei Liu
Summary: An air-cooled T-type battery thermal management system (T-BTMS) was designed to address high battery temperature and poor temperature uniformity during high-intensity operation, with validated CFD simulations showing improved cooling performance. Structural parameters such as battery layout and top inclination angle were found to have significant impacts on the thermal performance, highlighting the potential for enhancing cooling effectiveness in battery systems.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Oncology
Wenrui Xue, Xiaopeng Hu, Yu Zhang
Summary: This meta-analysis found that a high CONUT score was associated with poor survival outcomes in patients with RCC and UTUC, supporting its potential as a useful biomarker for disease management. Gender was not found to be related to survival outcomes.
NUTRITION AND CANCER-AN INTERNATIONAL JOURNAL
(2022)
Article
Electrochemistry
Yufei Cheng, Chang Xin, Junfeng Zhao, Jiawei Wang, Ming Gong, Hui Miao, Xiaoyun Hu
Summary: Antimony selenide (Sb2Se3) has garnered attention as a light-harvesting material with unique optoelectronic properties. This study presents a lateral gradient nanorod structure of Sb-2(SxSe1-x)(3) photocathode with improved photocurrent density and hydrogen generation activity.
ELECTROCHIMICA ACTA
(2022)
Article
Agronomy
Haijun Liu, Baozhong Yuan, Xiaodong Hu, Congyan Yin
Summary: The study found that using drip irrigation in greenhouses in North China significantly increased cucumber yield and economic benefits, reduced irrigation water amount, and improved water use efficiency.
IRRIGATION SCIENCE
(2022)
Article
Engineering, Chemical
Xiaopeng Hu, Shuai Zhong, Gang Peng
Summary: The bond behavior between early-age concrete and deformed steel bars under unidirectional cyclic loading was investigated through pull-out tests. The results showed that unidirectional cyclic loading affected the bond performance, resulting in irreversible residual deformation. The bond energy increased with the strength grade and concrete age.
JOURNAL OF ADHESION SCIENCE AND TECHNOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Yunhong Che, Xiaosong Hu, Xianke Lin, Jia Guo, Remus Teodorescu
Summary: This paper provides a comprehensive review of aging mechanisms and health prognostic methods for lithium-ion batteries, and discusses the main challenges and research prospects. The complex relationships between aging mechanisms, modes, factors, and types are summarized. Prognostic methods are categorized based on time scales and objectives, followed by detailed reviews and comparative evaluations. Key challenges are presented and potential solutions are discussed. Future trends and new ideas for battery health prognostics are proposed.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Automation & Control Systems
Kai Zhang, Lulu Jiang, Zhongwei Deng, Yi Xie, Jonathan Couture, Xianke Lin, Jingjing Zhou, Xiaosong Hu
Summary: This article proposes a fault diagnosis method for the early detection and assessment of soft internal short-circuit faults in lithium-ion battery packs, ensuring the safe operation of electric vehicles. Fault features are extracted from the data using the incremental capacity curve, making them easier to identify than small voltage differences. The local outlier factor method is then used to detect the early soft internal short-circuit fault by calculating the local outlier factor value of each cell within the battery pack.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Analytical
Sabir Hossain, Xianke Lin
Summary: This paper presents a strategy to obtain a real-time pseudo point cloud from image sensors instead of LiDARs, achieving better performance in terms of real-time operation and accuracy. Different depth estimators are used to generate pseudo point clouds similar to LiDAR, outperforming existing approaches in terms of both depth estimation and point cloud generation speed.
Article
Engineering, Electrical & Electronic
Yongli Chen, Shen Li, Xiaolin Tang, Kai Yang, Dongpu Cao, Xianke Lin
Summary: This article proposes an interaction-aware decision-making approach for autonomous vehicles, which models the interaction between vehicles and pedestrians, and balances safety and efficiency through optimization.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Nan Zhao, Fengqi Zhang, Yalian Yang, Serdar Coskun, Xianke Lin, Xiaosong Hu
Summary: This article proposes a predictive energy management strategy for connected plug-in hybrid electric vehicles (PHEVs) based on real-time dynamic traffic prediction. The strategy involves predicting future traffic information using a wavelet neural network (WNN) and optimizing the parameters of the network using a particle swarm optimization (PSO) algorithm. A long short-term memory-based velocity predictor is also proposed for the strategy. The performance of the strategy is verified using actual traffic data and results show improvements in fuel economy of 17.57% and 28.19% respectively.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Automation & Control Systems
Xiaoyan Hu, Yuan-Xin Li, Shaocheng Tong, Zhongsheng Hou
Summary: This article addresses the fixed-time prescribed event-triggered adaptive asymptotic tracking control problem for nonlinear pure-feedback systems with uncertain disturbances. By introducing the fuzzy-logic system (FLS), it deals with the unknown nonlinear functions in the system. It proposes a new type of Lyapunov function and fixed-time performance function (FPF), which achieve the fixed-time prescribed performance (FPP) and bounded signals of the system while avoiding Zeno behavior.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Le Xu, Zhongwei Deng, Yi Xie, Xianke Lin, Xiaosong Hu
Summary: This study proposes a novel hybrid method that combines physics-based and data-driven approaches to achieve early prediction of battery capacity degradation trajectory. The method extracts a hybrid feature using an electrochemical model and measured voltage data, and utilizes clustering and data augmentation techniques to train a deep neural network for prediction. The method provides accurate predictions using only 20% of training data and is robust under noisy input, with mean absolute percentage errors below 2.5% and 6.5% for capacity degradation trajectory and remaining useable cycle life, respectively.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Civil
Xiaolin Tang, Guichuan Zhong, Shen Li, Kai Yang, Keqi Shu, Dongpu Cao, Xianke Lin
Summary: In this paper, the fully parameterized quantile network (FPQN) is utilized to estimate the full return distribution and generate uncertainty-aware driving behavior. The proposed method outperforms the baseline methods in terms of safety and can make reasonable decisions in challenging driving cases in the presence of uncertainty.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yunhong Che, Yusheng Zheng, Yue Wu, Xianke Lin, Jiacheng Li, Xiaosong Hu, Remus Teodorescu
Summary: This paper proposes an online end-to-end state monitoring method based on transferred multi-task learning for battery management systems. The method improves accuracy and computational efficiency under various application scenarios. Experiments show that the proposed method has better accuracy and can be used for monitoring batteries in electric vehicles throughout their entire lifecycle.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Chemistry, Physical
Keting Feng, Tao Sun, Xiaoyun Hu, Jun Fan, Dongyuan Yang, Enzhou Liu
Summary: A series of Co0.85Se/TiO2 heterojunctions were fabricated, among which 15%-Co0.85Se/TiO2 showed the highest H-2 production rate and rate per electrochemically active surface area, attributed to its higher electrochemically active surface area and p-n heterostructure. This research provides a strategy for the development of efficient photocatalytic H-2 production using noble metal-free nanocomposites.
CATALYSIS SCIENCE & TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Zheng Lu, Wenxian Wei, Jingjing Yang, Qin Xu, Xiao-Ya Hu
Summary: A novel Ag triangle nanoparticles/TiO2 nanorod array heterostructure was designed as a SERS active substrate for sensitive detection of dyes and fungicides in food. The heterostructure showed higher Raman scattering intensity and better SERS performance, making it suitable for food residue analysis, and can be cleaned and reused with UV light.
NEW JOURNAL OF CHEMISTRY
(2022)
