A Kind of Intelligent Fast Charger of the Lead Acid Battery Based on MCU

2014 ◽  
Vol 8 (1) ◽  
pp. 229-233
Author(s):  
Lun-qiong Chen ◽  
Bei Li ◽  
Lin Yu

Based on pulse fast charge of the lead acid battery, this paper designed a kind of intelligent battery charger, including mainly a minimum system of 16 bit MCU as intelligent center, the constant resistance discharge unit to complete SOC prediction and duty cycle of the pulse charging waveform, the voltage-current-temperature measurement unit, pulse charging control unit. The duty cycle of this charger agreed with SOC of the battery, then using short floating charge in the later stage, thus greatly optimizing the pulse charging mode. Finally, compared with the conventional constant voltage and constant current charging, the charger greatly reduced the charging time.

2021 ◽  
Vol 297 ◽  
pp. 01033
Author(s):  
Iliass Rkik ◽  
Mohamed El khayat ◽  
Hafsa Hamidane ◽  
Abdelali Ed-Dahhak ◽  
Mohammed Guerbaoui ◽  
...  

This paper presents the modeling of an intelligent combined MPPT and Lead-Acid battery charger controller for standalone solar photovoltaic systems. It involves the control of a DC/DC buck converter through a control unit, which contains two cascaded fuzzy logic controllers (FLC), that adjusts the required duty cycle of the converter according to the state of charge and the three stage lead acid battery charging system. The first fuzzy logic controller (FLC1) consists of an MPPT controller to extract the maximum power produced by the PV array, while the second fuzzy controller (FLC2) is aimed to control the voltage across the battery to ensure the three stage charging approach. This solution of employing two distinct cascaded fuzzy controllers surmounts the drawbacks of the classical chargers in which the voltage provided to the lead acid battery is not constant owing to the effects of the MPPT control which can automatically damage the battery. Thus, the suggested control strategy has the benefit of extracting the full power against the PV array, avoiding battery damage incurred by variable MPPT voltage and increasing the battery’s lifespan.


2014 ◽  
Vol 651-653 ◽  
pp. 1068-1073
Author(s):  
Yu Lin Gong ◽  
Hong Zuo Li ◽  
Ming Qiu Li ◽  
Wei Da Zhan

This paper expounds the principle of lead-acid battery intelligent charging system, design the main circuit of the intelligent charging system, the positive and negative pulse charging circuit, control circuit and software design of intelligent charging system. Experimental results show that the system USES intelligent charging method can effectively improve the charging efficiency of battery and prolong the service life of the battery, can be widely used in lead-acid battery charging system, which has a broad prospect of industrialization and social benefits.


Author(s):  
Vicente D. Munoz-Carpio ◽  
Jerry Mason ◽  
Ismail Celik ◽  
Francisco Elizalde-Blancas ◽  
Alejandro Alatorre-Ordaz

Lead-Acid battery was the earliest secondary battery to be developed. It is the battery that is most widely used in applications ranging from automotive to industrial storage. Nowadays it is often used to store energy from renewable energy sources. There is a growing interest to continue using Lead-Acid batteries in the energy systems due to the recyclability and the manufacturing infrastructure which is already in place. Due to this rising interest, there is also a need to improve the efficiency and extend the life cycle of Lead-Acid batteries. To achieve these objectives, it is necessary to gain a better understanding of the physics taking place within individual batteries. A physics based computational model can be used to simulate the mechanisms of the battery accurately and describe all the processes that are happening inside; including the interactions between the battery elements, based upon the physical processes that the model takes into account. In the present paper, we present a discharge/charge experimental study that has been carried out with small Lead-Acid batteries (with a capacity of 7 Ah). The experiments were performed with a constant current rate of 0.1C [A]1 for two different battery arrangements. An in-house zero dimensional model was developed to perform simulations of Lead-Acid batteries under different operating conditions. A validation analysis of the model was executed to confirm the accuracy of the results obtained by the model compared to the aforementioned experiments. Additional simulations of the battery were carried out under different current rates and geometry modifications in order to study how the performance of the battery may change under these conditions.


2020 ◽  
Vol 10 (3) ◽  
pp. 895 ◽  
Author(s):  
Judy M. Amanor-Boadu ◽  
Anthony Guiseppi-Elie

Pulse charging of lithium-ion polymer batteries (LiPo), when properly implemented, offers increased battery charge and energy efficiencies and improved safety for electronic device consumers. Investigations of the combined impact of pulse charge duty cycle and frequency of the pulse charge current on the performance of lithium-ion polymer (LiPo) batteries used the Taguchi orthogonal arrays (OA) to identify optimal and robust pulse charging parameters that maximize battery charge and energy efficiencies while decreasing charge time. These were confirmed by direct comparison with the commonly applied benchmark constant current-constant voltage (CC–CV) charging method. The operation of a pulse charger using identified optimal parameters resulted in charge time reduction by 49% and increased charge and energy efficiencies of 2% and 12% respectively. Furthermore, when pulse charge current factors, such as frequency and duty cycle were considered, it was found that the duty cycle of the pulse charge current had the most impact on the cycle life of the LiPo battery and that the cycle life could be increased by as much as 100 cycles. Finally, the charging temperature was found to have the most statistically significant impact on the temporarily evolving LiPo battery impedance, a measure of its degradation.


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