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Research On Generalaviation Airborne Battery Management System

Posted on:2017-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z Z WangFull Text:PDF
GTID:2322330482481746Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
In recent years, due to environmental pollution and energy scarce, people hope to find a new energy to replace soon, and the battery for its many advantages as the power supply has become an object of people eager to study. At present, the battery has made significant development in all respects and has been widely used in many areas. However, they will encounter many applied problems when more batteries used together, so it needs to be controlled and managed necessarily. Battery in aircraft applications, the most important indicator is the safety of use, and the weight is also a very sensitive parameter. In order to ensure the safety of the battery system, we must use high energy density and high rate capability of lithium batteries.This article focused on the design of battery management system of general aviation aircraft power source of lithium iron phosphate.Currently general aviation airborne battery management system has many disadvantages such as the complex circuit structure, the heavy weight, the data collection not precise enough and the large estimation of state of charge error,etc, leading to the use of battery on general aviation machine restricted severely. Based on this phenomenon, we proposed a new battery management system using in general aviation aircraft. This system realized the data acquisition of multi-section single battery voltage and battery total voltage and total current and temperature, and processing algorithms and displaying results. In terms of hardware, Spartan series XC6SLX16-2CSG324 FPGA was used as the main chip to transmission data with the battery monitoring chip of Linear Technology Corporation LTC6804 through the SPI bus protocol. And among multiple LTC6804 chips, they can communicate with each other through isoSPI bus, to achieve more block batteries monitoring and reduce the circuit distribution and improve accuracy of acquisition. On the software side, the soc estimation used extended Kalman filter algorithm to improve estimation precision which was controlled in less than 4%, and increase system reliability.This design of the circuit is suitable for using on general aviation aircraft with the qualities of simple and reliable, lighter weight and higher soc estimate accuracy.
Keywords/Search Tags:Airborne batteries, Battery management system, Extended Kalman filter algorithm, LTC6804 chip, State of charge
PDF Full Text Request
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