In this paper, a cascaded Cuk equalization topology is used to build a battery pack equalization system model through the MATLAB/Simulink platform. On the basis of this circuit, a variable theory domain adaptive fuzzy equalization control strategy is developed to enhance the battery pack equalization speed.
The results of charge and discharge and static simulation and test of lithium battery show that the SOC difference between each cell is controlled within the threshold value of 3%, the voltage
For the secure usage of battery charging and discharging within electric vehicles, the study of cell pack equalization technology is essential. Therefore, in this paper,
The purpose of this work is to investigate the effects of vehicle driving parameters such as driving cycle, ambient conditions, and the effects of normal and fast charging methods on the battery temperature of the LIB pack, as a result can be seen in a flow chart (Fig. 1) that provides a direction for estimating Li-ion cell health (SOH) and battery thermal
Highlights • Battery pack equalization strategy based on UCCVC hypothesis is proposed. • The convergence of equalization is obtained in different inconsistent conditions. •
The programmable charger is a high current charger with a current range of 0–60 A and a voltage range of 0–64 V. Different input parameters such as the magnitude of charging current, charging time, the magnitude of discharge current, discharge time, rest period after charge or discharge step, and decrement factor can be varied according to experimental
The results of charge and discharge and static simulation and test of lithium battery show that the SOC difference between each cell is controlled within the threshold value
1. The meaning of equalizing charge. In short, it is a charging method that balances the characteristics of the batteries, and the power battery pack used in the car is not a
A variation in batteries'' physical or chemical specifications right from the manufacturing process causes a slight difference in battery capacity in a battery p
In the practical battery pack experiments, the pack capacity is improved by 16.84% after equalization, and the equalization time is decreased by 23.8% using the proposed method. View Show abstract
As shown in Figure 3, assuming the average voltage |${V}_0$| of the battery pack, the voltage |${V}_1$| > |${V}_0$| of the cell B1 at this time, the cell B1 needs to be balanced at this time, and its charge is transferred to the balancing capacitors C3 and C4. The switches S1 and S4 that control the polarity and the switches K1 and K2 of the positive and negative poles
This paper presents a cell optimal equalizing control method for Lithium-Ion battery pack formed by many cells connected in series in order to extract the maximum capacity, maintain the safe operation requirements of pack, and prolong the cells cycle life. Using the active cell to cell equalizing method, the energy levels of two adjacent cells will be equalized based
The results show that the equalization strategies based on the state-of-charge (SOC) are the simplest and most efficient. Furthermore, an online equalization strategy for
Aiming at three problems of over equalization, energy loss and time consumption, a dynamic equalization scheme is designed to control the equalization process of multi-cell Lithium-ion battery pack. First, a modified Buck-Boost circuit using inductor to transfer energy is proposed, which improves the equalization speed and is easy to realize in hardware modules.
According to these equalization objectives, this section divides equalization strategies into the following categories: variable threshold rationalization, battery capacity
From the battery pack capacity results in Fig. 6 a, b, and c, it can be seen that the three equalisation strategies of voltage-based, SOC-based, and SOC-and-capacity-based quickly returned to the theoretical value of battery pack capacity and closely followed the theoretical value over the entire life cycle. The battery pack capacity comparison
The imbalanced parameter among cells of a battery pack inevitably results in the imbalance of state of charge, which seriously decrease actual capacity and life cycle of the battery. Active battery equalization techniques can greatly reduce the imbalance of cells. Including the energy efficiency and speed of equalization, a nonlinear optimization model is proposed, which
Equalization is necessary due to slight variations in the characteristics of individual cells within a battery pack. Over time, these variations can cause certain cells to become overcharged, leading to reduced capacity and potential damage. This process involves applying a controlled charging or discharging cycle to individual cells or
Aiming at three problems of over equalization, energy loss and time consumption, a dynamic equalization scheme is designed to control the equalization process of multi-cell Lithium-ion battery pack.
An active equalization method based on an inductor and a capacitor was proposed in Reference by combining the advantages of the fast equalization speed of
Setting Up the Charger. Select Equalizing Mode: Set the charger to the equalizing mode. This typically involves increasing the voltage to about 2.5V per cell, approximately 10% higher than the normal charging voltage. Begin Charging: Initiate the charging process and monitor closely. Monitoring the Process. During the equalization charge, it
As shown in Figure 3, Q1 and Q2 are closed, whereas all other MOSFETs are disconnected. The DC-DC converter charges the energy from the battery pack to B1, and the SOC of B1 is gradually rising at this time. If B1 has the lowest SOC, then after DC-DC charging, its SOC will component rise, that is, it will achieve the goal of battery equalization.
In Guo et al. (Citation 2023), an active equalization method using a single inductor and a simple low-cost topology was proposed to transfer energy between battery cells to achieve series and parallel equalization simultaneously.The merits and demerits of the different balancing approaches and their consequences on the battery pack are discussed in
The cycle life of a lithium-ion battery pack is much shorter than that of a single cell because of their different external operating environments and internal characteristic parameters. Equalisation management is essential for reducing the difference between battery cells, improving capacity, and prolonging the cycle life.
Constantly recharging lead-acid or deep-cycle inverter batteries with a charger using a constant voltage or a fixed charge algorithm can, over time, cause the acid in the electrolyte to separate from the water and settle at
ELP400 has built-in various test and maintenance modes, which are suitable for the discharge, charging, cycle charging and discharging tests of various lithium batteries on the market.
An active equalization method based on an inductor and a capacitor was proposed in Reference [56] by combining the advantages of the fast equalization speed of
Large charging currents are designed to charge the cells'' SOCs near to the desired SOC with high cell temperatures (maximum temperature of 29.01 rmoC in the
Lithium-ion batteries have become new energy vehicles'' primary power source due to their long cycle time advantages and good discharge performance The battery pack reaches an equalization state at 2276s, and the overall equalization efficiency is calculated to be 93.0%. Charging and discharging model of lithium-ion battery for charge
Currently, Li-ion battery pack BMS comprises monitoring of battery cells, input/output current and voltage monitoring, charging/discharging control, estimations of the state of charge (SoC) [10,11
Balance Charging for Discovers Semi-Traction AGM and GELL batteries looks to be similar to an equalize charge cycle for flooded batteries but is performed at specifically designed temperature-compensated voltage, time and current range. Battery voltage during an equalization charge should be allowed to rise to 2.65V per cell +/- .05V (8V on
Equalization time will vary depending on the level of sulfation, balance of charge, size of the battery bank and available charging source. Typically, a corrective Equalization is necessary every 60 to 180 days to desulfate and balance a battery bank in systems which are deficit cycled and/or charged at lower charge currents.
Some battery cells in the battery pack have a charge and discharge current that is more than the permitted current, resulting in negative consequences such as
The consistency of series batteries greatly affects the capacity, performance and lifetime of battery pack. Therefore, improving the consistency of battery pack
Request PDF | Multiple time scale state-of-charge and capacity-based equalisation strategy for lithium-ion battery pack with passive equaliser | The cycle life of a lithium-ion battery pack is
The results of the real BMS further verify its applicability with an accuracy of 21.9 mV and 1.86% SOC, and the capacity is improved by 13.03%. The results above prove that the proposed method could extend the driving distance or time and guarantee a better battery pack performance than that of the battery pack without equalization.
Battery pack equalization strategy based on UCCVC hypothesis is proposed. The convergence of equalization is obtained in different inconsistent conditions. The equalization strategy is simulated in fresh and aged scenarios. The equalization strategy is embedded in a real BMS for practical application analysis.
Many equalization control algorithms work within one charging/discharging cycle. However, the equalization process could take longer than one charging/discharging cycle, and it should be allowed for the controller to equalize the battery over cycles.
The equalization strategy is embedded in a real BMS for practical application analysis. Lithium-ion battery pack capacity directly determines the driving range and dynamic ability of electric vehicles (EVs). However, inconsistency issues occur and decrease the pack capacity due to internal and external reasons.
Active equalization based on capacity during charging and discharging. Capacity-based equalization strategies take C C during charging and C R during discharging as equalization variables to determine whether a battery pack is consistent or not, and then equalize based on capacity.
Finally, the results of simulation and experiment both show that the equalization strategy not only maximizes pack capacity, but also adapts to different consistency scenarios. Pack capacity and consistency in the fresh or aged state are significantly improved after battery equalization.
After a thorough literature survey, it was found that there are many battery pack equalization strategies developed, but the systematic review and classification are missing. Some studies simply classify the equalization strategies based on the equalization variable, such as voltage, SOC, and capacity.
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