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Construction of Low Temperature Driving Range of Electric Vehicles Based on Cloud Big Data
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Yudi Liang1, 2, Lijia Dong1, 2, LiuZhanguo1, 2, Yuanqin Zhang1, 2, Shiying Wang1, 2, Wei Zhu1, 2
Automotive Digest | 2024, (9) : 1 - 7
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Automotive Digest | 2024, (9): 1-7
Construction of Low Temperature Driving Range of Electric Vehicles Based on Cloud Big Data
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Yudi Liang1, 2, Lijia Dong1, 2, LiuZhanguo1, 2, Yuanqin Zhang1, 2, Shiying Wang1, 2, Wei Zhu1, 2
Affiliations
  • 1 General Research and Development Institute, China FAW Corporation Limited, Changchun 130013
  • 2 National Key Laboratory of Advanced Vehicle Integration and Control, Changchun 130013
Published: 2024-09-05 doi: 10.19822/j.cnki.1671-6329.20230162
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In order to build low-temperature driving range conditions for electric vehicles, this paper utilizes the T-BOX cloud based big data platform for electric vehicles in natural user scenarios, selects speed-related parameters by application principal component analysis, obtaining kinematic fragments of low-speed, medium-speed and high-speed through cluster analysis methods, compares the difference in travel speed of trams at normal temperature and low temperature, establishes a speed curve suitable for low temperature test according to the probability density calculation results, and simultaneously extracts the information of ambient temperature, air conditioning grade and air conditioning temperature. The relationship between ambient temperature and air conditioning setting is analyzed, the ambient temperature and air conditioning setting information suitable for low temperature test are obtained. The results show that compared with normal temperature, the low-speed driving time is extended by 3%, the medium-speed and high-speed driving time are reduced by 2% and 1% respectively, and the ambient temperature setting to -22 ℃, the air conditioning level setting to 3, and the air conditioning temperature setting to 26 ℃ can represent the using scenarios of most users, finally building a low temperature driving rangeworking condition of electric vehicles which is closer to the user’s actual situation.

Electric vehicle  /  Big data  /  Low temperature driving range  /  Natural scenarios
Yudi Liang, Lijia Dong, LiuZhanguo, Yuanqin Zhang, Shiying Wang, Wei Zhu. Construction of Low Temperature Driving Range of Electric Vehicles Based on Cloud Big Data[J]. Automotive Digest, 2024 , (9) : 1 -7 . DOI: 10.19822/j.cnki.1671-6329.20230162
Year 2024 volume Issue 9
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doi: 10.19822/j.cnki.1671-6329.20230162
  • Online Date:2025-11-26
  • Published:2024-09-05
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    1 General Research and Development Institute, China FAW Corporation Limited, Changchun 130013
    2 National Key Laboratory of Advanced Vehicle Integration and Control, Changchun 130013
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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