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| Study on Control Strategy of Engine Cooling System with Mapping Feedforward and Fuzzy Control Feedback |
| DOI：10.13949/j.cnki.nrjgc.2020.03.009 |
| Key Words:IC engine cooling system feedforward fuzzy control control system |
| Author Name | Affiliation | | YANG Hongbin,LIU Haifeng,WANG Hu,ZHANG Bo,ZHENG Zunqing,YAO Mingfa | 1.State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China；
2.Guangxi Yuchai Machinery Group Co., Ltd., Yulin 537005, China |
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| Abstract:The one-dimensional transient simulation model of a heavy-duty diesel engine cooling system was established by using GT-SUITE software, and the control strategy and control effect of the cooling system were studied. In order to reduce the energy consumption of the cooling system and improve the accuracy of coolant temperature control, three control strategies combining the mapping feedforward and three different fuzzy control feedbacks were designed, including the fuzzy control feedback, variable-universe fuzzy control feedback and variable-universe fuzzy control feedback with pump speed proportional integral control. Then, according to the worldwide harmonized transient cycle(WHTC) conditions, a simulation calculation and its comparison with the engine bench test and vehicle operation were carried out. Results show that compared with fuzzy control feedback, use of variable-universe fuzzy control feedback can reduce the variation of the engine coolant outlet temperature by 37.6%, and increase the duration of water temperature control within the range of ±0.5℃ by 39.98% coupled to the reduction of the total energy consumption of the cooling system by 8.58%, thus resulting in a significant improvement in cooling performance. In particular, by using variable-universe fuzzy control feedback with pump speed proportional integral control, the engine coolant outlet temperature can be further reduced by 16.1%, and the duration of water temperature control within the range of ±0.5℃ is increased by 15.26%, but the total energy consumption of the cooling system is also increased by 10.3%, so that the temperature control accuracy is improved at the expense of energy consumption. In summary, compared with fuzzy control feedback, use of variable-universe fuzzy control feedback has the best overall performance in terms of the temperature control accuracy and energy consumption, which improves the temperature control accuracy by 49.28% during vehicle operation, and reduces the energy consumption of the cooling system by 8.68%. |
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