Small Low Cost Unmanned Aerial Vehicle Lithium-Polymer Battery Monitoring System

2013 ◽  
Author(s):  
Michal Podhradsky ◽  
Jarret Bone ◽  
Austin M. Jensen ◽  
Calvin Coopmans
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Measured Data ◽  
State Of Charge ◽  
Lithium Polymer Battery ◽  
Double Exponential ◽  
Battery State Of Charge ◽  
Aerial Vehicle ◽  
Polymer Battery ◽  
Obvious Similarity

Lithium-Polymer (LiPo) batteries are becoming a popular choice for electric small low cost Unmanned Aerial Vehicles (UAVs). In case of a multirotor UAVs, a battery failure means a certain loss of the air frame. To fully utilize their potential and maintain mission safety, a monitoring system predicting battery behaviour is required. In this study a change in battery dynamics during discharge, and its effect of thrust produced by actuators is measured. Experiments simulating flight conditions are performed, and measured data are interpolated with double exponential and polynomial curves. An obvious similarity between the battery state-of-charge and produced thrust is observed. Due to conventional altitude controllers’ inability to cope well with changes in battery dynamics, a controller invariant to those changes is presented.

Battery Charge And Source Estimation As A Product Component

2020 ◽  
Author(s):  
Gabriel De Almeida Souza ◽  
José Jean-Paul Zanlucchi de Souza Tavares
Keyword(s):  
Time Series ◽  
Low Cost ◽  
Computational Cost ◽  
External Source ◽  
State Of Charge ◽  
Hardware Complexity ◽  
Handheld Device ◽  
Data Consumption ◽  
Battery State Of Charge ◽  
Conventional Solution

This paper's goal is to present a low cost, non-conventional solution for battery state of charge estimation and external electrical input presence/absence for a commercial mobile, handheld device whose battery state of charge control is critical. This solution is based on treating and filtering a time series in real-time software, using the battery pack characteristic discharge curve and time series statistical features. The time series is composed of data that is sampled embedded in hardware, communicating directly with the machine's BIOS. The system processes this data and outputs a value that indirectly relates to state of charge, needing further processing to insure accuracy. The data stream is treated in a process that directly relates the output time series with state of charge through a transfer function, effectively treating intermediary conversions as black boxes to simplify analysis and implementation. This process can also detect if an external source is connected/disconnected by exploiting pre-detected features in the time series. This approachadvantages are its low cost and simplicity, reducing hardware complexity and expenses; small dimensional footprint; mostly software-based; and centralization into the main hardware as low computational cost daemons, simplifying data consumption.

scholarly journals Design and experimental research of a quadrocopter flying robot

2018 ◽  
Vol 46 ◽  
pp. 00012
Author(s):  
Grzegorz Suchanek ◽  
Wojciech Ciesielka
Keyword(s):  
Autonomous Navigation ◽  
Field Tests ◽  
Manual Control ◽  
Lithium Polymer Battery ◽  
Basic Work ◽  
Aerial Vehicle ◽  
Navigation Mode ◽  
Flying Robot ◽  
Polymer Battery ◽  
Maximum Thrust

The drone is an unmanned aerial vehicle. Currently, many commercially available remote controlled flying toys are used to be called drones. This is an erroneous nomenclature, because the drone must have an autonomus flight function implemented. Due to it's simple mechanical construction, the most popular drones are in the form of a multirotor, in which arrangement the engines are placed in one plane. One of the most important advantages of this type of robots is the ability to maintain a certain position in space. Today, this allowed for e.g. taking photos from the air or inspecting hard-to-reach places. For use for environmental protection purposes, drone equipped with appropriate sensors and instrumentation may be used to monitor air pollution. The mechanical part of a quadrocopter flying robot was based on a TAROT frame with a 450mm engines spacing. The frame has been expanded with a dedicated set of legs to raise the clearance up to 150mm. Four dedicated EMAX MT2213 electric motors were installed on the frame, which are the main drive. They are characterized by the propeller hub-free-mounting, which minimizes possible imbalances. A single engine cooperating with a dedicated 10-inch propeller and a 4.5-inch pitch generates a maximum thrust of a 0.85kg. In the case of this system, it sums to a total of 3.4 kg. The weight of the ready to flight robot is 1.35 kg. To power the robot, a lithium-polymer battery with a capacity of 2.2 Ah is used, providing flight time of about 8 minutes. The basic work mode of the robot is a manual one, which means a self leveling mode with manual control. In addition to this mode, an autonomous navigation mode using GPS coordinates has been implemented. This navigation mode was also been tested during field tests. The operation of this navigation mode is very similar to the position maintaining mode, but operates on a larger scale. The robot in this mode is vectorically controlled, performing forwards/backwards and sideways movements to the set location.

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