汽车工程 ›› 2021, Vol. 43 ›› Issue (2): 296-304.doi: 10.19562/j.chinasae.qcgc.2021.02.019

• • 上一篇    

基于学习率的纯电动与燃料电池汽车分场景经济性比较研究

邱彬1,2,禹如杰3,刘勇3,4,赵冬昶3(),宋健1   

  1. 1.清华大学,汽车安全与节能国家重点实验室,北京 100084
    2.工业和信息化部装备工业发展中心,北京 100846
    3.中国汽车技术研究中心有限公司,天津 300300
    4.南开大学金融学院,天津 300350
  • 收稿日期:2020-06-17 修回日期:2020-08-21 出版日期:2021-02-25 发布日期:2021-03-04
  • 通讯作者: 赵冬昶 E-mail:zhaodongchang@catarc.ac.cn
  • 基金资助:
    能源基金会(G-1709-26903)

A Comparative Study on Economy of Battery and Fuel Cell Electric Vehicles of Different Application Scenarios Based on Learning Rate

Bin Qiu1,2,Rujie Yu3,Yong Liu3,4,Dongchang Zhao3(),Jian Song1   

  1. 1.Tsinghua University,State Key Laboratory of Automotive Safety and Energy Conservation,Beijing 100084
    2.Equipment Industry Development Center,Ministry of Industry and Information Technology,Beijing 100846
    3.China Automotive Technology and Research Center Co. ,Ltd. ,Tianjin 300300
    4.School of Finance,Nankai University,Tianjin 300350
  • Received:2020-06-17 Revised:2020-08-21 Online:2021-02-25 Published:2021-03-04
  • Contact: Dongchang Zhao E-mail:zhaodongchang@catarc.ac.cn

摘要:

新能源汽车较高的成本是制约我国新能源汽车发展的重要因素之一。本研究构建了纯电动和燃料电池汽车经济性综合分析比较模型。基于新能源汽车各关键零部件的学习率曲线,对纯电动和燃料电池乘用车、客车和货车的未来制造成本趋势进行了分析和比较。同时结合我国私家车、出租车、公交车和物流车4个应用场景,对各场景下纯电动和燃料电池汽车使用成本进行了分析。最后比较了未来不同时点下两种技术路线下的总成本差异。研究发现,虽然未来增程式燃料电池汽车制造成本较低,但纯电动车使用成本价格优势明显,其中总成本将具有较强竞争力。

关键词: 学习率, 燃料电池汽车, 纯电动汽车, 成本

Abstract:

High cost of new energy vehicles (NEVs) is one of the most important factors restricting its development in China. In this study, a comprehensive model for economy analysis and comparison of battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV) is constructed. Based on the learning rate curves of major components of NEVs, the future manufacturing cost trends of battery electric and fuel cell passenger cars, buses, and trucks are analyzed and compared. At the same time, combined with the four application scenarios of private car, taxi, bus and logistics vehicle in China, the use cost of battery electric vehicles and fuel cell electric vehicles in each application scenario is analyzed. Finally, the total cost differences between the two technical routes at different time points in the future are compared. The result shows that although the manufacturing cost of range?extended fuel cell vehicles will be lower in the future, the cost advantage of BEVs is distinct, with its total cost more competitive.

Key words: learning rate, fuel cell electric vehicle, battery electric vehicle, cost