Energy-saving Optimization of Frequency-variable Heat Pump Air Conditioning System for Electric Vehicles Based on a Genetic Algorithm

摘要

To alleviate the impact of air conditioning (AC) systems on the overall performance of electric vehicles (EVs) and realize optimal control over the AC system, an optimal energy-saving operating control strategy for AC systems was proposed in this work. The main goal of our approach was to minimize the power consumption under the premise of meeting load demands. The energy-saving optimization problem of AC systems was solved using the improved genetic algorithm (IGA) by establishing a steady-state model of a frequency-variable heat pump AC system. In the proposed IGA, sequential quadratic programming (SQP) was embedded as a local search scheme to enable high convergence rate and solving accuracy, as well as effectively solve the optimization problem of frequency-variable heat pump AC systems. According to optimization results, the energy-saving operation of an AC system can be realized by dynamically adjusting the compressor frequency, indoor-fans frequency, and outdoor-fans frequency according to the actual working conditions of the system. The proposed optimal control method for the frequency-variable heat pump AC system based on the IGA also provided a robust basis for the intelligent control of AC systems. Meanwhile, it would be a potential solution to extend the driving ranges of EVs.

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