The study of saving energy on electric vehicle air conditioning system using fuzzy control
碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 101 === In this study, we design the fuzzy control strategy for electric vehicle cabin air-conditioning systems, in order to reduce the power consumption of electric vehicles and hold the car cabin on a comfortable temperature. Experiments are act with the simul...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/9y7p57 |
| Summary: | 碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 101 === In this study, we design the fuzzy control strategy for electric vehicle cabin air-conditioning systems, in order to reduce the power consumption of electric vehicles and hold the car cabin on a comfortable temperature. Experiments are act with the simulating cabin, and change different thermal load, in order to compare with traditional control strategy and fuzzy control strategy on energy saving difference. The results showed that in the steady-state temperature control, the fuzzy control strategy is the smallest of three controller. The fuzzy control temperature difference with setting temperature is about 0.5°C which is lower than the PI control temperature difference with setting temperature is about 0.7°C and the on-off control temperature difference with setting temperature is about 1.2°C. Fuzzy control strategy on average power consumption is the smallest of three. The fuzzy control average energy consumption is 640W. The On-off control average energy consumption is 798W. The average value on saving energy is about 19.8% with On-off controller. This study demonstrates that this fuzzy control strategy for electric vehicle air conditioning systems can achieve comfortable cabin temperature and consume less energy than PI controller and On-off controller.
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