To establish battery models of good quality, model parameters . need be accurately calculated from test data. To identify the parameters, usually specific tests, such as constant current ... Parameter identification of the battery equivalent circuit model . includes determination of the battery OCV, the ohmic resistance, and the parallel ...
DOI: 10.1016/j.est.2023.108034 Corpus ID: 259481230; Optimization of hybrid pulse power characterization profile for equivalent circuit model parameter identification of Li-ion battery based on Taguchi method
To cope with the new transportation challenges and to ensure the safety and durability of electric vehicles and hybrid electric vehicles, high performance and reliable battery health management systems are required. The Battery State of Health (SOH) provides critical information about its performances, its lifetime and allows a better energy management in …
Online parameter identification can only obtain good results when the quality of the measurements from sensors is good enough. ... combines the recursive total least squares and RLS to design a hybrid method for the parameter identification of battery ECM. Because RLS can converge quickly and RTLS can be used to attenuate the noise effect. Ref.
This paper focuses on the identification of quality relevant process parameters in the production of high energy lithium-ion battery cells. Today there is still a high level of uncertainty about the effects of manufacturing processes on the quality of high energy lithium-ion cells-in industry as well as in research.
Herein, to provide guidance on the identification of the best starting points to reduce production costs, a bottom-up cost calculation technique, process-based cost modeling (PBCM), for battery ...
This paper establishes a study for an accurate parameter modeling method for lithium-ion batteries. A precise state space model generated from an equivalent electric circuit is used to carry out the proposed identification process, where parameter identification is a nonlinear optimization process problem. The African vultures optimization algorithm (AVOA) is …
An accurate battery model is of great importance for battery state estimation. This study considers the parameter identification of a fractional-order model (FOM) of the battery, which can more realistically describe the reaction process of the cell and provide more precise predictions. Firstly, an improved sparrow search algorithm combined with the Tent …
In addition to existing expert- based approaches for the identification of quality drivers in production, a trend towards data-driven methods is discernible. ... A multi-criteria optimization with the help of desirability functions was realized for two of the quality parameters, battery capacity and battery weight. As depicted in Fig. 4, for ...
The test bench for battery parameter identification process and testing. The used battery to model is a LG (LGABD11865) battery with a rated capacity of 3000 mAh, 3.75 V rated, 4.2 V maximum over charge voltage, 2.7 V minimum discharge voltage, 0.5–1 A charging current and 0.2–0.5 A discharging current.
The findings may be used in the future to detect defective cells at an early stage in lithium-ion battery production, increasing throughput and enhancing overall quality. …
This paper focuses on the identification of quality relevant process parameters in the production of high energy lithium-ion battery cells. Today there is still a high level of uncertainty about the …
A large number of battery pack returns from electric vehicles (EV) is expected for the next years, which requires economically efficient disassembly capacities. This cannot be met through purely manual processing and, therefore, needs to be automated. The variance of different battery pack designs in terms of (non-) solvable fitting technology and superstructures …
1 Introduction. The shift toward zero-emission and sustainable mobility is driving demand for electric vehicles and lithium-ion batteries. [] Car manufacturers are increasingly concentrating on the production of their own battery cells. [] The key challenges include reducing costs, minimizing scrap, and at the same time improving quality. [] For this reason, particular …
DOI: 10.1016/j.procir.2023.09.157 Corpus ID: 267160574; Holistic Approach for Digitalized Quality Assurance in Battery Cell Production @article{Kies2023HolisticAF, title={Holistic Approach for Digitalized Quality Assurance in Battery Cell Production}, author={Alexander D. Kies and Johann-Philip Abramowski and Thomas Ackermann and Fabian Kux and Alexander Kreppein …
Modularity-in-design of battery packs for electric vehicles (EVs) is crucial to offset their high manufacturing cost. However, inconsistencies in performance of EV battery packs can be introduced by various sources. Sources of variation affect their robustness. In this paper, parameter diagram, a value-based conceptual analysis approach, is applied to analyze these …
2896 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 62, NO. 7, SEPTEMBER 2013 Broadband Identification of Battery Electrical Impedance for HEVs R. Al Nazer, V. Cattin, P. Granjon, Maxime Montaru, and M. Ranieri Abstract—Electrical impedance measurements provide useful information about the characteristics of a Li-ion battery.
Batteries are key to electrification, demanding high-quality control and efficient production. The use of Automated Defect Recognition (ADR) and other technologies is critical as the industry aims to scale up to meet the rising demand from electronics, electric vehicles, and energy storage sectors, while also minimizing environmental impacts.
346 G. Riexinger et al. • Manual removal of electrode segments due to product defects or to perform quality control. • Prevention of material modifications or entry of any contamination due ...
This paper focuses on the identification of quality relevant process parameters in the production of high energy lithium-ion battery cells. Today there is still a high level of uncertainty about the effects of manufacturing processes on the quality of high energy lithium-ion cells - in industry as well as in research.
An accurate battery model is of great importance for battery state estimation. This study considers the parameter identification of a fractional-order model (FOM) of the battery, which can more ...
To ensure efficient production of high quality, yet affordable battery cells, while making the best use of available raw materials and processes, reasonable quality assurance criteria are...
important. So, battery manufacturers have adopted a variety of measures for quickly identifying metal particle contamination in order to maintain battery quality and yield. To overcome these challenges, Hitachi High-Tech Science Corporation released an X-ray particle contaminant analyzer (the EA8000) for detecting metal
570 Joscha Schnell and Gunther Reinhart / Procedia CIRP 57 ( 2016 ) 568 – 573 3. Literature review: Quality management for complex production chains and battery production 3.1. Quality assurance ...
The temperature of a Lithium battery cell is important for its performance, efficiency, safety, and capacity and is influenced by the environmental temperature and by the charging and discharging process itself. Battery Management Systems (BMS) take ...
2.1 Battery Energy Store Model. A suitable model can accurately simulate the functional characteristics of the battery [].The primary purpose of building the battery model is to obtain the mathematical relationship between the internal parameters of the battery and the external features, then establish a suitable equation to estimate the output voltage of the …
This paper demonstrates methods to assess the quality of lithium-ion pouch batteries (LiPBs) and in particular the limitation of electrochemical characterization tests which …
Battery Division - Supplier Quality Manual A74-006-001 (06) P -7/40 Battery Division, Toshiba Corporation 3.3 Quality Audits for Suppliers In order to maintain and improve the quality of parts, we conduct quality audits to confirm that our suppliers'' quality assurance activities and their results are in line with their goals and that the ...
Hence, the identification of battery model parameters is an essential task for vehicle system simulation and energy management strategy optimization. Fig. 4.2. Series hybrid drive system. Full size image. ... The quantity and quality of the training data influence the performance of identified models and their dynamic simulation.
This paper focuses on the identification of quality relevant process parameters in the production of high energy lithium-ion battery cells. Today there is still a high level of uncertainty about the …
This paper focuses on the identification of quality relevant process parameters in the production of high energy lithium-ion battery cells. Today there is still a high level of uncertainty about the effects of manufacturing processes on the quality of high energy lithium-ion cells — in industry as well as in research. Compared to consumer cells, high energy cells used for …
Fault Identification of Lithium-Ion Battery Pack for Electric Vehicle Based on GA Optimized ELM Neural Network LEI YAO1, SHIMING XU 1, YANQIU XIAO1, JUNJIAN HOU1, XIAOYUN GONG1,
Accurate estimation of the state of charge (SOC) for lithium-ion batteries (LIBs) has now become a crucial work in developing a battery management system. In this paper, the characteristic parameters of LIBs under wide temperature range are collected to examine the influence of parameter identification precision and temperature on the SOC estimation …
