Sustainable Energy Management in Electric Vehicles Through a Fuzzy Logic-Based Strategy

被引:0
作者
Savran, Efe [1 ]
Karpat, Esin [2 ]
Karpat, Fatih [1 ]
机构
[1] Bursa Uludag Univ, Mech Engn Dept, TR-16059 Bursa, Turkiye
[2] Bursa Uludag Univ, Elect Elect Engn Dept, TR-16059 Bursa, Turkiye
关键词
battery electric vehicle; energy optimization; fuzzy logic; fleet management; carbon release; OPTIMIZATION;
D O I
10.3390/su17010089
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this study was to develop a fuzzy logic controller (FLC)-based energy management strategy for battery electric vehicles that enables them to reduce their energy consumption and carbon emission levels without sacrificing their performance. An electric vehicle model was developed in MATLAB/Simulink using a virtual battery and validated with real-world driving tests to save time and money. An in-depth investigation is conducted on both virtual and real vehicles to confirm the effectiveness of the proposed energy management strategy. This study shows that by using FLC-based energy management, an energy consumption advantage of 9.16% can be achieved while maintaining acceptable performance levels in real-world driving conditions. This advantage results in significant reductions annually: 1044.09 tons of CO2 emissions, USD 164,770.65 in savings for electric bus lines, and 5079 battery cycles. For European passenger electric vehicles, this corresponds to 405,657.6 tons of CO2 emissions reduced, USD 64,017,840 saved, and 5.071 battery cycles per vehicle. This strategy not only enhances energy efficiency but also contributes to long-term sustainability in public transportation systems, particularly for electric bus fleets, which play a critical role in urban mobility.
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页数:17
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