scholarly journals Degradation of Lithium-Ion Batteries in an Electric Transport Complex

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8072
Author(s):  
Nickolay I. Shchurov ◽  
Sergey I. Dedov ◽  
Boris V. Malozyomov ◽  
Alexander A. Shtang ◽  
Nikita V. Martyushev ◽  
...  
Keyword(s):  
Service Life ◽  
Lithium Ion Batteries ◽  
Residual Life ◽  
Technical Problem ◽  
Lithium Ion ◽  
Operating Conditions ◽  
Battery Management ◽  
Electric Transport ◽  
Operating Modes ◽  
Number Of Cycles

The article provides an overview and comparative analysis of various types of batteries, including the most modern type—lithium-ion batteries. Currently, lithium-ion batteries (LIB) are widely used in electrical complexes and systems, including as a traction battery for electric vehicles. Increasing the service life of the storage devices used today is an important scientific and technical problem due to their rapid wear and tear and high cost. This article discusses the main approaches and methods for researching the LIB resource. First of all, a detailed analysis of the causes of degradation was carried out and the processes occurring in lithium-ion batteries during charging, discharging, resting and difficult operating conditions were established. Then, the main factors influencing the service life are determined: charging and discharging currents, self-discharge current, temperature, number of cycles, discharge depth, operating range of charge level, etc. when simulating a real motion process. The work considers the battery management systems (BMS) that take into account and compensate for the influence of the factors considered. In the conclusion, the positive and negative characteristics of the presented methods of scientific research of the residual life of LIB are given and recommendations are given for the choice of practical solutions to engineers and designers of batteries. The work also analyzed various operating cycles of electric transport, including heavy forced modes, extreme operating modes (when the amount of discharge and discharge of batteries is greater than the nominal value) and their effect on the degradation of lithium-ion batteries.

scholarly journals Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5265
Author(s):  
Longxing Wu ◽  
Kai Liu ◽  
Hui Pang ◽  
Jiamin Jin
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Operating Conditions ◽  
Estimation Methods ◽  
Current Sensor ◽  
Battery Management System ◽  
Battery Management ◽  
Soc Estimation ◽  
Electrochemical Model ◽  
The Impact

State of Charge (SOC) is essential for a smart Battery Management System (BMS). Traditional SOC estimation methods of lithium-ion batteries are usually conducted using battery equivalent circuit models (ECMs) and the impact of current sensor bias on SOC estimation is rarely considered. For this reason, this paper proposes an online SOC estimation based on a simplified electrochemical model (EM) for lithium-ion batteries considering sensor bias. In EM-based SOC estimation structure, the errors from the current sensor bias are addressed by proportional–integral observer. Then, the accuracy of the proposed EM-based SOC estimation is validated under different operating conditions. The results indicate that the proposed method has good performance and high accuracy in SOC estimation for lithium-ion batteries, which facilitates the on-board application in advanced BMS.

Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions

2019 ◽  
Vol 21 (41) ◽  
pp. 22740-22755 ◽  
Author(s):  
Mei-Chin Pang ◽  
Yucang Hao ◽  
Monica Marinescu ◽  
Huizhi Wang ◽  
Mu Chen ◽  
...  
Keyword(s):  
Solid State ◽  
Numerical Analysis ◽  
Energy Density ◽  
Lithium Ion Batteries ◽  
Lithium Batteries ◽  
Safety Concern ◽  
Lithium Ion ◽  
Thermal Runaway ◽  
Operating Conditions ◽  
Lithium Cells

Solid-state lithium batteries could reduce the safety concern due to thermal runaway while improving the gravimetric and volumetric energy density beyond the existing practical limits of lithium-ion batteries.

scholarly journals Determination of the Distribution of Relaxation Times by Means of Pulse Evaluation for Offline and Online Diagnosis of Lithium-Ion Batteries

Batteries ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 36
Author(s):  
Erik Goldammer ◽  
Julia Kowal
Keyword(s):  
Lithium Ion Batteries ◽  
Electrochemical Impedance ◽  
Sampling Rate ◽  
Relaxation Times ◽  
Low Frequency ◽  
Lithium Ion ◽  
Battery Management ◽  
Time Constants ◽  
Time Domain Data ◽  
Aging Study

The distribution of relaxation times (DRT) analysis of impedance spectra is a proven method to determine the number of occurring polarization processes in lithium-ion batteries (LIBs), their polarization contributions and characteristic time constants. Direct measurement of a spectrum by means of electrochemical impedance spectroscopy (EIS), however, suffers from a high expenditure of time for low-frequency impedances and a lack of general availability in most online applications. In this study, a method is presented to derive the DRT by evaluating the relaxation voltage after a current pulse. The method was experimentally validated using both EIS and the proposed pulse evaluation to determine the DRT of automotive pouch-cells and an aging study was carried out. The DRT derived from time domain data provided improved resolution of processes with large time constants and therefore enabled changes in low-frequency impedance and the correlated degradation mechanisms to be identified. One of the polarization contributions identified could be determined as an indicator for the potential risk of plating. The novel, general approach for batteries was tested with a sampling rate of 10 Hz and only requires relaxation periods. Therefore, the method is applicable in battery management systems and contributes to improving the reliability and safety of LIBs.

scholarly journals A Sustainable Process for the Recovery of Valuable Metals from Spent Lithium Ion Batteries by Deep Eutectic Solvents Leaching

2022 ◽  
Vol 5 (1) ◽  
pp. 100
Author(s):  
Lourdes Yurramendi ◽  
Jokin Hidalgo ◽  
Amal Siriwardana
Keyword(s):  
Lithium Ion Batteries ◽  
Choline Chloride ◽  
Active Material ◽  
Lithium Ion ◽  
Deep Eutectic Solvents ◽  
Extraction Yield ◽  
Operating Conditions ◽  
Inorganic Acids ◽  
Additive Type ◽  
Valuable Metals

The feasibility of using low-environmental-impact leaching media to recover valuable metals from lithium ion batteries (LIBs) has been evaluated. Several deep eutectic solvents (DES) were tested as leaching agents in the presence of different type of additives (i.e., H2O2). The optimization of Co recovery was carried out by investigating various operating conditions, such as reaction time, temperature, solid (black mass) to liquid (DES) ratio, additive type, and concentration. Leaching with final selected DES choline chloride (33%), lactic acid (53%), and citric acid (13%) at 55 °C achieved an extraction yield of more than 95% for the cobalt. The leaching mechanism likely begins with the dissolution of the active material in the black mass (BM) followed by chelation of Co(II) with the DES. The results obtained confirm that those leaching media are an eco-friendly alternative to the strong inorganic acids used nowadays.

Prospectives for the Use of Li-Ion Batteries in Hybrid Stand-Alone Power Sources

2019 ◽  
Vol 20 (2) ◽  
Author(s):  
Sergey Khantimerov ◽  
Ranis Fatykhov ◽  
Nail Suleimanov
Keyword(s):  
Comparative Analysis ◽  
Energy Density ◽  
Service Life ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Power Sources ◽  
Specific Energy Density ◽  
Li Ion ◽  
And Performance

Abstract In this paper, the possibility of using lithium-ion batteries in hybrid stand-alone power sources is considered. The article gives a comparative analysis of the energy and performance characteristics, the service life of lead-acid and lithium-ion batteries. It is shown that the longer service life and the specific energy density, the absence of the need for constant monitoring of the main parameters and the ability to preserve the original capacity at increased discharge currents, open the possibility of using lithium-ion batteries in hybrid stand-alone power sources.

Modeling and Estimation for Advanced Battery Management

2019 ◽  
Vol 2 (1) ◽  
pp. 393-426 ◽  
Author(s):  
Xinfan Lin ◽  
Youngki Kim ◽  
Shankar Mohan ◽  
Jason B. Siegel ◽  
Anna G. Stefanopoulou
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
The State ◽  
Consumer Electronics ◽  
Accurate Estimation ◽  
Health State ◽  
Battery Management ◽  
Space Applications ◽  
Internal States ◽  
State Of Power

The commercialization of lithium-ion batteries enabled the widespread use of portable consumer electronics and serious efforts to electrify trans-portation. Managing the potent brew of lithium-ion batteries in the large quantities necessary for vehicle propulsion is still challenging. From space applications a billion miles from Earth to the daily commute of a hybrid electric automobile, these batteries require sophisticated battery management systems based on accurate estimation of battery internal states. This system is the brain of the battery and is responsible for estimating the state of charge, state of health, state of power, and temperature. The state estimation relies on accurate prediction of complex electrochemical, thermal, and mechanical phenomena, which increases the importance of model and parameter accuracy. Moreover, as the batteries age, how should the parameters of the model change to accurately represent the performance, and how can we leverage the limited sensor information from the measured terminal voltage and sparse surface temperatures available in a battery system? With a frugal sensor set, what is the optimal sensor placement? This article reviews estimation techniques and error bounds regarding sensor noise and modeling errors, and concludes with an outlook on the research that will be necessary to enable fast charging, repurposing of batteries for grid energy storage, degradation prediction, and fault detection.

scholarly journals A Path Planning Strategy with Ant Colony Algorithm for Series Connected Batteries

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1816
Author(s):  
Yang Chen ◽  
Teng Shen ◽  
Shiyan Yang ◽  
Xiaofang Liu ◽  
Ru Yang ◽  
...  
Keyword(s):  
Path Planning ◽  
Lithium Ion Batteries ◽  
Ant Colony Algorithm ◽  
Graph Model ◽  
Lithium Ion ◽  
Operating Conditions ◽  
Ant Colony ◽  
Planning Strategy ◽  
Battery Cells

This article presents a path planning strategy with ant colony algorithm for series connected batteries. The motive of this paper is the increasing need for efficient and fast equalization for Lithium-ion batteries. There are many great papers on the design of the equalization circuits. However, they lack the part of path planning strategy for the balancing circuits. To solve this issue, we adopt the graph model to represent the balancing paths among different battery cells and then construct two optimal models based on the best efficiency and speed, respectively. Finally, ant colony algorithm is used to solve these two models. This makes it possible to achieve different goals according to the practical operating conditions. We validate the function of the proposed path planning strategy through an example of 13 series connected battery balancing system.

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