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Experimental Study on Heating Performances of Integrated Battery and HVAC System with Serial and Parallel Circuits for Electric Vehicle
Symmetry ( IF 2.940 ) Pub Date : 2021-01-07 , DOI: 10.3390/sym13010093
Taek-Kyu Lim , Kunal Sandip Garud , Jae-Hyeong Seo , Moo-Yeon Lee , Dong-Yeon Lee

The objective of the present study is to conduct experiments for investigating heating performances of integrated system with serial and parallel circuits for battery and heating ventilation and air conditioning system (HVAC) of electric vehicles under various operating conditions. In addition, the artificial neural network (ANN) model is proposed to accurately predict the heating performances of integrated system with serial and parallel circuits for battery and HVAC. A test bench of integrated system with serial and parallel circuits has been developed for establishing the trade-off between battery heating and HVAC heating. The heating performances namely, battery out temperature, battery temperature rise rate, battery heating capacity, HVAC heating capacity and total heating capacity are evaluated experimentally for the integrated system with serial and parallel circuits. The behavior of various heating performances is evaluated under influence of flow rate and heater power. Battery out temperature reaches 40 °C within 10 min with rise rate of 2.17 °C/min for the integrated system with serial circuit and that within 20 min with rise rate of 1.22 °C/min for the integrated system with parallel circuit. Integrated system with serial circuit shows higher HVAC heating capacity than integrated system with parallel circuit which are 5726.33 W and 3869.15 W, respectively. ANN model with back-propagation algorithm, Levenberg-Marquardt training variant, Tan-sigmoidal transfer function and 20 hidden neurons presents the accurate prediction of heating performances of the integrated system with serial and parallel circuits for battery and HVAC.

中文翻译:

电动汽车串联并联电路的电池与HVAC集成系统加热性能的实验研究。

本研究的目的是进行实验,以研究具有串联和并联电路的集成系统在各种工况下的电池和电动汽车的通风和空调系统(HVAC)的加热性能。另外,提出了一种人工神经网络模型来准确预测电池和暖通空调系统的串联和并联电路集成系统的加热性能。已经开发出具有串联和并联电路的集成系统的测试台,以建立电池加热和HVAC加热之间的权衡。加热性能即电池输出温度,电池温度上升率,电池加热容量,对于具有串行和并行电路的集成系统,通过实验评估了HVAC加热容量和总加热容量。在流量和加热器功率的影响下评估各种加热性能的行为。对于带有串联电路的集成系统,电池输出温度在10分钟内达到40°C,上升速率为2.17°C / min;对于带有并联电路的集成系统,电池输出温度达到20分钟内,上升速率为1.22°C / min。与带有并联电路的集成系统相比,带有串联电路的集成系统显示出更高的HVAC加热能力,分别为5726.33 W和3869.15W。具有反向传播算法的ANN模型,Levenberg-Marquardt训练变量,
更新日期:2021-01-07
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