Conference Paper

Hybrid Air-Conditioning for Electric Vehicles by Combining a Heating and a Desiccant System

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Abstract

A key challenge for electric vehicles is the limited driving range by the batteries. Especially in winter, the driving range of electric vehicles is substantially reduced due to missing waste heat from the internal combustion engine. In this paper, a desiccant-assisted heating concept is proposed. In a dynamic simulation study, it is shown that the desiccant-assisted concept allows significantly reducing battery requirements for heating. The desiccant-assisted system actively removes water from the airflow allowing an increased air recirculation rate without risk of windshield fogging. The increased air recirculation rate results in a reduction of the electricity demand for heating up to 66 % compared to a conventional set-up without desiccant module and no air recirculation. Additionally, heat-up times at the beginning of a ride can be reduced significantly with the desiccant-assisted system: from 14 to 6 min for an ambient temperature of .-10 °C

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Conference Paper
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This paper introduces an optimization based holistic energy management system for a battery electric vehicle. The energy management can adapt the velocity and the power consumed by the cabin heating, in order to minimize the energy consumption, while keeping total driving time and the cabin temperature within predefined limits. For the optimization a hybrid genetic algorithm is used. The approach is applied to a driving cycle, which is optimized by dividing it into separate time frames. This approach is referred to as sliding window approach. The results of the sliding window approach are compared to an optimization of the whole driving cycle. The results presented in this paper demonstrate the feasibility of the sliding window approach. Moreover, they show that the sliding window approach does not lead to a significant deterioration compared with the optimization of the whole driving cycle. At the same time the driver comfort remains well within the acceptable limits and the driving time constant.
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