DocumentCode :
583643
Title :
Charging and discharging cycle design for performance evaluation of HV batteries
Author :
Komatsuzaki, Kouhei ; Shin, Seiichi ; Sawada, Kenji
Author_Institution :
Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan
fYear :
2012
fDate :
17-21 Oct. 2012
Firstpage :
224
Lastpage :
228
Abstract :
The battery greatly influences the performance of the Hybrid Vehicle (HV). So, automobile manufacturers need to evaluate the batteries of various manufacturers and select the most appropriate one. In this case, they need a charge-discharge cycle to evaluate batteries quantitatively. In this paper, we call such a cycle an evaluation pattern and propose a design method of the pattern to evaluate the HV battery quantitatively. HV employs two power sources, motor and engine. In a HV, the appropriate distribution of output torques between the motor and engine is determined based on the driving condition (vehicle speed, acceleration rate, SOC, and so on). That leads to the dependence of the charge-discharge cycle on the driving condition. Therefore, our method divides actual driving data of HV into four driving modes (stopping, acceleration, steady running and deceleration) and then selects a representative pattern for every driving mode effectively by using regression analysis. As a result, we can narrow down the actual driving data that to a few representative patterns. The evaluation pattern is designed by combining the representative patterns. In addition, the quantitative evaluation pattern can be designed in a short time.
Keywords :
hybrid electric vehicles; regression analysis; secondary cells; HV batteries; acceleration rate; automobile manufacturers; charge-discharge cycle; discharging cycle design; driving condition; driving modes; evaluation pattern; hybrid vehicle; performance evaluation; power sources; regression analysis; representative patterns; vehicle speed; Acceleration; Automobiles; Batteries; Engines; Regression analysis; Torque; Data mining; HV battery performance; Hybrid vehicle (HV); Regression analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
Type :
conf
Filename :
6393436
Link To Document :
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