Article
Automation & Control Systems
Kailong Liu, Yizhao Gao, Chong Zhu, Kang Li, Minrui Fei, Chen Peng, Xi Zhang, Qing-Long Han
Summary: This paper provides a systematic review of recent advancements in electrochemical model development and parameterization for battery management systems. It summarizes and analyzes classic pseudo-two-dimensional models and related model order reduction methodologies, as well as enhanced models considering cell internal inhomogeneity. The paper also discusses parameter identification techniques and solutions for optimizing the parameterization procedure, and highlights current research gaps and challenges.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Automation & Control Systems
Yu Zhou, Hua Deng, Han-Xiong Li
Summary: This work develops a Galerkin-spectral model for the 3-D thermal diffusion in pouch cells, which is essential for onboard temperature monitoring of lithium-ion batteries in automobile applications. The model is obtained by space decomposition and simplification of the original physical model, and a low-order representation is extracted using spectral expansion. Experimental and simulation studies demonstrate the satisfactory reduced-order performance and practical validity of the proposed model.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Environmental
Sanjay Pindar, Nikhil Dhawan
Summary: This study focused on utilizing discarded lithium-ion batteries for valuable metal and graphite resources through processes like microwave treatment and froth flotation, achieving successful separation and recovery with high metal and graphite value recovery rates.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Computer Science, Information Systems
Shahenda M. Abdelhafiz, Mohammed E. Fouda, Ahmed G. Radwan
Summary: Lithium-ion batteries play a crucial role in many applications, and therefore, modeling their behavior is necessary in various fields. This paper proposes seven dynamic models to simulate the discharging behavior of lithium-ion batteries, and their efficacy in fitting different time-domain responses is tested through parameter identification. The results show that these models have an average absolute normalized error as low as 0.0057.
Article
Energy & Fuels
Yizhao Gao, Chenghao Liu, Shun Chen, Xi Zhang, Guodong Fan, Chong Zhu
Summary: This paper presents a novel methodology to develop and parameterize an electrochemical battery model through cell teardown and current/voltage data estimation. The accuracy and computation efficiency of the model are validated using extensive experimental data. The results show that the model can accurately predict cell voltage and demonstrate improved accuracy compared to equivalent circuit models.
Article
Energy & Fuels
Zichuan Yang, Junqiu Li, Haifu Jiang, Ziming Liu
Summary: This paper presents a damage detection method based on the IMM algorithm, which effectively detects cell damage by using two circuit models and filters to interactively estimate, providing an effective way for diagnosing cell damage.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Multidisciplinary
Ferran Brosa Planella, W. Dhammika Widanage
Summary: Battery degradation is a major obstacle to the widespread use of lithium-ion batteries. In this article, a reduced model is introduced that is simple, accurate, and suitable for most practical applications. The model can be extended to account for additional degradation effects.
APPLIED MATHEMATICAL MODELLING
(2023)
Review
Engineering, Manufacturing
Alexis Maurel, Antonio Pavone, Gianni Stano, Ana C. Martinez, Eric Macdonald, Gianluca Percoco
Summary: The emergence of conductive extrudable materials has expanded the applications of additive manufacturing to include smart devices, circuits, actuators, and sensors that require electrical power. 3D printing of components dedicated to energy storage, particularly batteries, has also gained interest. This review focuses on extrusion-based 3D printed batteries, which is the most widespread, inexpensive, and simple additive process. The paper introduces the processes and materials of 3D printing batteries, highlights the main manufacturing challenges and proposed solutions, and describes the extrusion-based printers, modifications, printing parameters, and multi-material capabilities needed to print composite components and rechargeable batteries in a single non-assembly step.
VIRTUAL AND PHYSICAL PROTOTYPING
(2023)
Article
Thermodynamics
Weizhuo Li, Qing Du, Guannan Guo, Chengru Wu, Kui Jiao
Summary: To eliminate endurance anxiety, lithium-ion batteries need to continuously improve energy densities by developing ultrathick electrodes that compress the proportion of inactive components. This study introduces two variants of oriented pore structures for fast ion transport and uses a quasi-3D electrochemical-thermal coupled model to investigate their behavior. The results show significant improvements in energy density and more uniform ion distribution, with reduced heat generation rate in high discharge rate conditions.
APPLIED THERMAL ENGINEERING
(2023)
Review
Chemistry, Physical
Feifei Li, Yangyang Cao, Wenjing Wu, Gongwei Wang, Deyang Qu
Summary: This review summarizes the emerging anode and cathode prelithiation techniques in the advanced lithium-ion batteries field, along with strategies for manufacturing-compatible and scalable prelithiation. Prelithiation is crucial for compensating the initial capacity loss, enhancing full cell cycling performance, and propelling the commercialization of advanced LIBs/LICs.
Article
Chemistry, Multidisciplinary
Yiru Ma, Huiqi Qu, Wenna Wang, Yueqin Yu, Xinghao Zhang, Bin Li, Lei Wang
Summary: The Si/SiO2@graphene superstructure, fabricated through reducing silicalite-1 and depositing carbon layers, exhibits excellent structural stability and high ion/electron transport rate. The optimized anode delivers outstanding cycling life, rate capability, areal capacity, and mechanical stability. The full cell test using LiFePO4 as the cathode demonstrates a high capacity and the Si/SiO2@graphene superstructure effectively maintains the film in LIBs.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Chemistry, Physical
Jianghao Tan, Qi Wang, Shuai Chen, Zhenhua Li, Jie Sun, Wen Liu, Wensheng Yang, Xu Xiang, Xiaoming Sun, Xue Duan
Summary: Recycling of spent lithium-ion batteries, particularly the cathode materials, poses significant challenges due to environmental pollution and resource wastage. Structure-regulated design has the potential to establish a circular economy model with low energy consumption and minimal environmental disruption, while also improving the electrochemical performance of cathode materials. This approach highlights the importance of green and sustainable recovery of metal resources through recycling-oriented materials design.
ENERGY STORAGE MATERIALS
(2021)
Article
Engineering, Chemical
Guangwen Zhang, Xue Yuan, Chor Yong Tay, Yaqun He, Haifeng Wang, Chenlong Duan
Summary: The study proposes a method of carbothermal reduction combined with multi-stage leaching to recycle lithium from electrode materials. Results show that this method can achieve a comprehensive recovery rate of 87.15% even with a high aluminum content in the electrode materials.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Chemistry, Physical
Xiulin Zou, Yuchen Huang, Yueping Chen, Chenglin Cai, Mei Qiu, Yongfan Zhang, Jia Zhu
Summary: Blue phosphorene/graphdiyne heterostructure is designed as a potential anode material for Li-ion batteries with excellent mechanical stability, good electrical conductivity, high capacity, and fast Li-ion mobility. The heterostructure exhibits good thermodynamics stability and enhanced elastic stiffness, effectively avoiding electrode cracking and pulverization. The synergistic effect between Blue phosphorene and graphdiyne significantly enhances the binding strength of Li and improves the metallic conductivity for fast electron transport.
APPLIED SURFACE SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Xin Lai, Zheng Meng, Shuyu Wang, Xuebing Han, Long Zhou, Tao Sun, Xiangjun Li, Xiangjin Wang, Yuhan Ma, Yuejiu Zheng
Summary: This study investigates and simplifies the equivalent circuit model of two types of lithium-ion batteries using global parameter sensitivity analysis, showing that the simplified model has similar accuracy to the original model but requires only half the calculations.
JOURNAL OF CLEANER PRODUCTION
(2021)
