Control Algorithm Optimization of Electric Air Conditioning Based on ADVISOR

Author:

Nan Jin Rui1,Zhou Zhi Chao1

Affiliation:

1. Beijing Institute of Technology

Abstract

In order to develop more energy-saving control algorithm, an electric vehicle air conditioning system model is established. Electric air conditioning system compressor model, compartment thermal load model, heat transfer model, controller model and temperature calculation model are built based on certain pure electric commercial vehicle air conditioning system. A compound control method applying fuzzy and PID theory is put forward in this paper. A secondary development of EV model is established in ADVISOR. As the result shows, the Fuzzy-PID control method is more accuracy and consuming less energy. Optimized control algorithm for air conditioning is realized.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 articles.

1. J. M. Terras, D. M. Sousa, A. Roque, A. Neves. Simulation of a Commercial Electric Vehicle: Dynamic Aspects and Performance, Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14th European Conference on.

2. Q. Y Ning. Matching Design for Air Conditioning System of Electric Vehicle. Ms D Thesis, Jilin: Jilin University, 2011 (in Chinese).

3. Y. H Huang, N. P LI. Fuzzy Model Predictive Control for a Comfort Air-Conditioning System", Automation Science and Engineering, 2006. CASE, 06. IEEE International Conference on.

4. Y. B Cao. Development and Performance Simulation of Electric Air Conditioner Module Based on ADVISOR. Ms D Thesis. Jilin: Jilin University, 2009 (in Chinese).

5. R. Johnston. Fuzzy Logic control. Micorelectronics Journal, 1995, 126: 481-495.

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