scholarly journals Performance of Passive and Active Balancing Systems of Lithium Batteries in Onerous Mine Environment

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7624
Author(s):  
Wojciech Kurpiel ◽  
Przemysław Deja ◽  
Bartosz Polnik ◽  
Marcin Skóra ◽  
Bogdan Miedziński ◽  
...  

To use lithium-iron-phosphate battery packs in the supply systems of any electric mining equipment and/or machines, the required conditions of work safety must be met. This applies in particular to coal mines endangered by fire and/or explosion. To meet the spark-safety conditions, the cells (together with the battery management system—BMS) must be isolated from the influence of the environment, and therefore placed in special fire-tight housings. This significantly degrades the heat dissipation, thus affecting the operating conditions of the cell-packs. Therefore, their usage without the so-called BMS is not recommended, as shown in the authors’ preliminary research. In practice, various BMS are used, most often with the so-called passive balancing. However, their application in mines is uncertain, due to the effect of heating under operation. When it comes to active BMS, they usually possess a quite complex structure and hence, are relatively expensive. Therefore, the authors conducted research for two specially developed active and one commercial passive BMS cooperating with selected lithium-iron-phosphate (LiFePO4) batteries when used in a suspended mining vehicle type PCA-1. The tests were carried out under environmental temperatures ranging from +5 °C to +60 °C. The effect of mismatching (12.5% to 37.5% of total cells number) of the cell parameters on the temperature distribution and voltage fading at the terminals of individual cells was checked. As a result of the investigations, the practical usefulness of the developed active BMS was determined, enabling the extension of the lithium-iron-phosphate battery life under onerous mine conditions, for a single recharge, which is a novelty. On the basis of the obtained results, appropriate practical conclusions were formulated.

Batteries ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 37 ◽  
Author(s):  
Elie Riviere ◽  
Ali Sari ◽  
Pascal Venet ◽  
Frédéric Meniere ◽  
Yann Bultel

This paper presents a fully embedded state of health (SoH) estimator for widely used C/LiFePO4 batteries. The SoH estimation study was intended for applications in electric vehicles (EV). C/LiFePO4 cells were aged using pure electric vehicle cycles and were monitored with an automotive battery management system (BMS). An online capacity estimator based on incremental capacity analysis (ICA) is developed. The proposed estimator is robust to depth of discharge (DoD), charging current and temperature variations to satisfy real vehicle requirements. Finally, the SoH estimator tuned on C/LiFePO4 cells from one manufacturer was tested on C/LiFePO4 cells from another LFP (lithium iron phosphate) manufacturer.


2011 ◽  
Vol 179-180 ◽  
pp. 3-8
Author(s):  
Cheng Lin Liao ◽  
Li Ye Wang ◽  
Li Fang Wang

Lithium iron phosphate battery (LiFeO4 battery) is a very promising power battery. The research on LiFeO4 battery and the realization of its battery management system are very significant for the development of Electric Vehicle. Based on a large number of test data, the equivalent circuit model of battery is established, the parameters of the battery model are obtained using least-square method, and then the improved SOC estimation algorithm is studied in simulation conditions. All of the battery management algorithms are achieved in simulation model. The C code is generated from simulation model and applied in battery management system. Finally, the battery management algorithms are verified by simulation and hardware-in-loop test and bench test.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 705
Author(s):  
Younghwi Ko ◽  
Woojin Choi

An accurate state of charge (SOC) estimation of the lithium iron phosphate battery (LiFePO4) is one of the most important functions for the battery management system (BMS) for electric vehicles (EVs) and energy storage systems (ESSs). However, an accurate estimation of the SOC of LiFePO4 is challenging due to the hysteresis phenomenon occurring during the charge and discharge. Therefore, an accurate modeling of the hysteresis phenomenon is essential for reliable SOC estimation. The conventional hysteresis modeling methods, such as one-state hysteresis modeling and parallelogram modeling, are not good enough to achieve high-accuracy SOC estimation due to their errors in the approximation of the hysteresis contour. This paper proposes a novel method for accurate hysteresis modeling, which can provide a significant improvement in terms of the accuracy of the SOC estimation compared with the conventional methods. The SOC estimation is performed by using an extended Kalman filter (EKF) and the parameters of the battery are estimated by using auto regressive exogenous (ARX) model and the recursive least square (RLS) filter. The experimental results with the conventional and proposed methods are compared to show the superiority of the proposed method.


2012 ◽  
Vol 512-515 ◽  
pp. 1032-1036
Author(s):  
Yuan Bin Yu ◽  
Hai Tao Min ◽  
Xiao Dong Qu ◽  
Jun Guo

Take the 60Ah lithium iron phosphate battery equipped for an electronic vehicle as research object, develop the Battery Management System (BMS) and process the bench test. The system uses LTC6802 chip to implement local electronic information collection unit, uses the resistance-voltage distributing principle to implement the high-voltage collecting and insulation resistance detecting, uses MC9S12XDP512 chip to implement the top-level data processing and vehicle information interaction. Bench test shows the designed BMS can monitor all states of the battery pack and compute in real time. At the same time BMS can communicate with the Vehicle Control Unit (VCU) reliably.


2014 ◽  
Vol 1678 ◽  
Author(s):  
Wesley D. Tennyson

ABSTRACTCarbon nanotubes (CNTs) have been shown to be a viable conductive additive in Li-Ion batteries [1]. By using CNTs battery life, energy, and power capability can all be improved over carbon black, the traditional conductive additive. A significantly smaller weight percentage (5% CNTs) is needed to get the same conductivity as 20% carbon black. Many of the previous efforts found that a combination of conductive additives was most advantageous [2]. Unfortunately many of these efforts did not attend to the unique challenge that dispersing nanotubes presents and used non-optimal methods to disperse CNTs (e.g. ball milling) [3,4]. With poor dispersion a stable and resilient conductive network in the cathode is hard to form with CNTs alone. Here we investigate the formation of LiFePO₄ with CNTs using a polyol process synthesis.


2006 ◽  
Vol 972 ◽  
Author(s):  
Atmane Ait-Salah ◽  
Chintalapalle V Ramana ◽  
François Gendron ◽  
Jean-François Morhange ◽  
Alain Mauger ◽  
...  

AbstractWe present the synthesis and characterization of a novel lithium iron polyphosphate LiFe2P3O10 prepared by wet-chemical technique from nitrate precursors. The crystal system is shown to be monoclinic (P21/m space group) and the refined cell parameters are a=4.596 Å, b=8.566 Å, c=9.051 Å and β=97.46°. LiFe2P3O10 has a weak antiferromagnetic ordering below the Néel temperature TN=19 K. Electrochemical measurements carried out at 25 °C in lithium cell with LiPF6-EC-DEC electrolyte show a capacity 70 mAh/g in the voltage range 2.7-3.9 V.


Author(s):  
Saktheeswaran L R ◽  
Amudha A ◽  
M. Siva Ramkumar ◽  
G. Emayavaramban ◽  
K. Balachander ◽  
...  

Author(s):  
Thiruvonasundari Duraisamy ◽  
Deepa Kaliyaperumal

The shrink in accessibility of petroleum products and increment in asset request are eventual outcomes for Electrical Vehicles (EVs). The battery has an impact on the performance of electrical vehicles, the driving range. Lithium ion (Li-ion) chemistry is extremely sensitive to overcharge and deep discharge, which can harm the battery, shortening its period of time, and even inflicting risky things. The Battery Management System (BMS) comprises of the consequent parts: management, equalization and protection. Of the three components, equalization is that the most crucial with respect to the durability of the battery framework. The ability of the full pack diminishes rapidly amid the procedure which leads to degradation of the full battery framework. This condition is extreme once the battery incorporates a more number of cells in series and frequent charging is conveyed through the battery string. The cell imbalance during charging, discharging is a major issue in battery systems used in EVs. To circumvent the cell imbalance, cell balancing is used. Cell balancing enhances battery safety and extends battery life. This paper discusses about different active balancing method to increase the life span of the battery module. Based on the comparison, the inductor based balancing method for 60V battery system is implemented in the MATLAB/Simscape environment and the results are discussed.


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