scholarly journals Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1262 ◽  
Author(s):  
Sahar Khaleghi ◽  
Yousef Firouz ◽  
Maitane Berecibar ◽  
Joeri Van Mierlo ◽  
Peter Van Den Bossche
Keyword(s):  
Electric Vehicles ◽  
Computational Cost ◽  
Real Life ◽  
Lithium Ion ◽  
Stress Factors ◽  
State Of Health ◽  
Current Profile ◽  
Diagnostic Features ◽  
Wide Range ◽  
Battery Cells

The success of electric vehicles (EVs) depends principally on their energy storage system. Lithium-ion batteries currently feature the ideal properties to fulfil the wide range of prerequisites specific to electric vehicles. Meanwhile, the precise estimation of batteries’ state of health (SoH) should be available to provide the optimal performance of EVs. This study attempts to propose a precise, real-time method to estimate lithium-ion state of health when it operates in a realistic driving condition in the presence of dynamic stress factors. To this end, a real-life driving profile was simulated based on highly dynamic worldwide harmonized light vehicle test cycle load profiles. Afterward, various features will be extracted from voltage data and they will be scored based on prognostic metrics to select diagnostic features which can conveniently identify battery degradation. Lastly, an ensemble learning model was developed to capture the correlation of diagnostic features and battery’s state of health (SoH). The result illustrates that the proposed method has the potential to estimate the SoH of battery cells aged under a distinct depth of discharge and current profile with a maximum error of 1%. This confirms the robustness of the developed approach. The proposed method has the capability of implementing in battery management systems due to many reasons; firstly, it is tested and validated based on the data which are equal to the real-life driving operation of an electric vehicle. Secondly, it has high accuracy and precision, and a low computational cost. Finally, it can estimate the SoH of battery cells with different aging patterns.

scholarly journals Characterization of the Compressive Load on a Lithium-Ion Battery for Electric Vehicle Application

Machines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 71
Author(s):  
Seyed Saeed Madani ◽  
Erik Schaltz ◽  
Søren Knudsen Kær
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Large Scale ◽  
Electrochemical Impedance ◽  
Applied Pressure ◽  
Lithium Ion ◽  
Battery Cells

Lithium-ion batteries are being implemented in different large-scale applications, including aerospace and electric vehicles. For these utilizations, it is essential to improve battery cells with a great life cycle because a battery substitute is costly. For their implementation in real applications, lithium-ion battery cells undergo extension during the course of discharging and charging. To avoid disconnection among battery pack ingredients and deformity during cycling, compacting force is exerted to battery packs in electric vehicles. This research used a mechanical design feature that can address these issues. This investigation exhibits a comprehensive description of the experimental setup that can be used for battery testing under pressure to consider lithium-ion batteries’ safety, which could be employed in electrified transportation. Besides, this investigation strives to demonstrate how exterior force affects a lithium-ion battery cell’s performance and behavior corresponding to static exterior force by monitoring the applied pressure at the dissimilar state of charge. Electrochemical impedance spectroscopy was used as the primary technique for this research. It was concluded that the profiles of the achieved spectrums from the experiments seem entirely dissimilar in comparison with the cases without external pressure. By employing electrochemical impedance spectroscopy, it was noticed that the pure ohmic resistance, which is related to ion transport resistance of the separator, could substantially result in the corresponding resistance increase.

scholarly journals Evaluating the Degradation Mechanism and State of Health of LiFePO4 Lithium-Ion Batteries in Real-World Plug-in Hybrid Electric Vehicles Application for Different Ageing Paths

Energies ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 110 ◽  
Author(s):  
Chi Zhang ◽  
Fuwu Yan ◽  
Changqing Du ◽  
Jianqiang Kang ◽  
Richard Turkson
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Real World ◽  
Hybrid Electric Vehicles ◽  
Degradation Mechanism ◽  
Lithium Ion ◽  
State Of Health ◽  
Hybrid Electric

Joining Technologies for Automotive Lithium-Ion Battery Manufacturing: A Review

2010 ◽  
Author(s):  
S. Shawn Lee ◽  
Tae H. Kim ◽  
S. Jack Hu ◽  
Wayne W. Cai ◽  
Jeffrey A. Abell
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Dissimilar Materials ◽  
Lithium Ion ◽  
Cell Types ◽  
Advantages And Disadvantages ◽  
Battery Packs ◽  
Hybrid Electric ◽  
Battery Cells

Automotive battery packs for electric vehicles (EV), hybrid electric vehicles (HEV), and plug-in hybrid electric vehicles (PHEV) typically consist of a large number of battery cells. These cells must be assembled together with robust mechanical and electrical joints. Joining of battery cells presents several challenges such as welding of highly conductive and dissimilar materials, multiple sheets joining, and varying material thickness combinations. In addition, different cell types and pack configurations have implications for battery joining methods. This paper provides a comprehensive review of joining technologies and processes for automotive lithium-ion battery manufacturing. It details the advantages and disadvantages of the joining technologies as related to battery manufacturing, including resistance welding, laser welding, ultrasonic welding and mechanical joining, and discusses corresponding manufacturing issues. Joining processes for electrode-to-tab, tab-to-tab (tab-to-bus bar), and module-to-module assembly are discussed with respect to cell types and pack configuration.

Charge balancing of serially connected lithium-ion battery cells in electric vehicles

2012 ◽  
Vol 129 (3) ◽  
pp. 167-173 ◽  
Author(s):  
M. Einhorn ◽  
W. Rößler ◽  
F. V. Conte ◽  
H. Popp ◽  
J. Fleig
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
Charge Balancing ◽  
Battery Cells

scholarly journals Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

2015 ◽  
Vol 273 ◽  
pp. 793-803 ◽  
Author(s):  
Yuan Zou ◽  
Xiaosong Hu ◽  
Hongmin Ma ◽  
Shengbo Eben Li
Keyword(s):  
Cell Cycle ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
State Of Charge ◽  
State Of Health ◽  
Battery Cell

scholarly journals State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter

2016 ◽  
Vol 182 ◽  
pp. 558-568 ◽  
Author(s):  
Jun Bi ◽  
Ting Zhang ◽  
Haiyang Yu ◽  
Yanqiong Kang
Keyword(s):  
Particle Filter ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
State Of Health ◽  
Battery Packs

scholarly journals Ageing characterization data of Lithium-ion battery with highly deteriorated state and wide range of state-of-health

Data in Brief ◽  
2021 ◽  
pp. 107727
Author(s):  
Zhiyong Xia ◽  
Jaber A. Abu Qahouq
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
State Of Health ◽  
Wide Range

scholarly journals Study of the Characteristics of Battery Packs in Electric Vehicles With Parallel-Connected Lithium-Ion Battery Cells

2015 ◽  
Vol 51 (2) ◽  
pp. 1872-1879 ◽  
Author(s):  
Xianzhi Gong ◽  
Rui Xiong ◽  
Chunting Chris Mi
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
Battery Packs ◽  
Battery Cells

Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles

2019 ◽  
Vol 41 (32) ◽  
pp. 1-11
Author(s):  
Verena Klass ◽  
Maårten Behm ◽  
Göran Lindbergh
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Real Life ◽  
Lithium Ion ◽  
Battery Packs
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