Abstract
In this paper, we propose an intelligent battery control system that incorporates an active balancing technique and a fuzzy controller to manage and extend the life of an agricultural drone battery efficiently. The control system includes the following key features: A battery pack balancing algorithm based on a bidirectional DC/DC converter; a cell balancing system to prevent overcharge/discharge and ensure equal control of the cell voltages; and a monitoring system and wireless link to track the real-time status of the battery, temperature, and acceleration while the drone is in operation. Each battery pack consists of six lithium polymer batteries, one fuzzy controller per cell, and supports active balancing using the developed balancing technique. The capacity of each of the battery packs in the system is 11,000 mAh, and two can be combined to provide a total capacity of 22,000 mAh.
Highlights
The trend toward more electric mobility has demanded the need for high voltage, high efficiency, and long-life battery systems
An intelligent battery pack balancing algorithm intended for use in an agricultural analyzing the system because this type of battery generates electricity by way of a chemical reaction
We proposed an intelligent balancing algorithm using fuzzy control because such a analyzing the system because this type of battery generates electricity by way of a chemical reaction
Summary
The trend toward more electric mobility has demanded the need for high voltage, high efficiency, and long-life battery systems. Li-ion batteries have a number of advantages, including a higher power density by three times compared to lead–acid batteries, high energy density, and low self-discharge rate [4], all of which are properties important to support longer flight times. We proposed a battery cell balancing algorithm using a fuzzy controller to solve the DoD (Depth of Discharge) of a high-power drone battery pack. DC/DC converter with a proportional-integral (PI) controller; PI controllers are better suited for linear systems, while the proposed system is nonlinear This issue occurs because the mathematical model of the power electronic system and battery depends on the SOC, temperature, and C-rate [8]. Instead of using a PI controller to manage the bi-directional DC/DC converter, we propose a cell balancing algorithm and a fuzzy controller that is suitable for nonlinear systems. By using the proposed BMS, the voltage deviation was reduced, the depth of discharge was improved, and the efficiency was improved by 5% compared to when only a battery is used
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