Study of Battery Management System of High-Voltage Lithium Batteries for Hybrid Electric Vehicle by Using the Neural-Networks

• Main Authors: Ming Cheng Chou, 周明正
• Other Authors: Shun Chang Chang
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/41745520256905823795

碩士 === 大葉大學 === 車輛工程學系碩士班 === 96 === In recent years, countries all over the world look for alternative energy source invariably, combine power source of vehicle electronic motor the trend of the times already. Hybrid Electric Vehicle include the generator and battery vehicle itself of motive force, so a thesis is mainly when probe into the lithium battery of the density of high-energy as the power source of the motor, Hybrid Electric Vehicle have intact lithium battery that manages the state, incomplete electric consumption of the battery (State of Charge, SOC) Performer important role very, can involve abnormal to charge and discharge in the course of using, the application number increases, cause the health state (State of Health, SOH) of the lithium battery Damaged, can influence SOC detect accuracy of examining, so copies of thesis make key analysis to the lithium battery health state. This research divides into two research directions in lithium battery health: (1) we have build up a set and accelerated method of testing, and can estimate the health state under the environment of reality of the lithium battery in advance effectively, accurately, the lithium battery health state detects the respect of examining and mostly regards charge and the discharge as the main basis to build the model of setting up now, utilize actual person who hinder, temperature, different to discharge battery capacity quantity of electric current input and output relation more inside that quantity examine among research this, to set up the state neural model of battery health of lithium, estimate and examine the lithium battery health state. (2) the electric vehicles in the compound of the motor for the 22 kW high-power motors, relative, the impetus for the motor is also high voltage power, we use LabVIEW to work collocate volatge pull-down, the development of a high-voltage lithium battery detection module, To predict the future as a residual capacity and health status of techniques.