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Hybrid Electric Vehicle with Flywheel Energy Storage System - page 9 / 11

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WSEAS TRANSACTIONS on SYSTEMS

(b) The torque distribution between ICE and ISG as well as the change of energy storage state of FESS with initial value of 0.5 is presented in this figure, the rotary speed of flywheel is also shown corresponding to the energy storage state of FESS Fig.11 Simulation results with initial energy storage state of 0.1 and 0.5

(a) The operating points of ICE

(b) The operating points of ISG Fig.12 Operating points of ICE and ISG

ISSN: 1109-2777

7.82L/100K m

8.15L/100K m

4.2Km

4.2Km

5.96L/100K m

6.2 L/100Km

12Km

12Km

5.6 L/100Km

5.8 L/100Km

10.9Km

10.9Km

5.67 L/100Km

5.9 L/100Km

Jianhui He, Guoqiang Ao, Jinsheng Guo, Ziqiang Chen, Lin Yang

Table 2 Comparison of fuel consumption between control strategies

Logic

5.8Km

Control Strategy Driving Cycle

Fuzzy logic

China City Cycle

1015 Cycle

UDD S Cycle

ECE Cycle

Driving 5.8Km Distance

Fuel Consumptio n Driving Distance Fuel Consumptio n Driving Distance Fuel Consumptio n Driving Distance Fuel Consumptio n

The purpose of energy management is to reduce fuel consumption of vehicle. The improvements of operating efficiencies of ICE and ISG are reflected at last by the criterion of fuel consumption. It can be concluded from Table 2 that compared with logic control strategy, the fuzzy logic controller has reduced the fuel consumption of vehicle averagely by about 3.8 percent.

(a) Comparison under china city cycle with different initial energy storage state

646

Issue 5, Volume 8, May 2009

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