| ENERGY-SAVING OPTIMIZATION OF FREQUENCY-VARIABLE HEAT
PUMP AIR CONDITIONING SYSTEM FOR ELECTRIC VEHICLES
BASED ON A GENETIC ALGORITHM |
| Qinghong Peng 1, Gen Yang 1, Qungui Du 2 |
1Shunde Polytechnic
2South China University of Technology |
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| ABSTRACT |
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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. |
| Key Words:
Heat pump air conditioning, Optimal control, Energy-saving, Electric vehicle |
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Corresponding Author.
Qinghong Peng , Email. 
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