Simulation results of Methanol consumption of each energy management control strategy.

Simulation results of Methanol consumption of each energy management control strategy.

<p>Simulation results of Methanol consumption of each energy management control strategy.</p>

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Bibliographic Details
Main Author:	Zhihao Li (359073) (author)
Other Authors:	Ping Xiao (1600990) (author), Jiabao Pan (5318612) (author), Wenjun Pei (13033237) (author), Aoning Lv (20495930) (author)
Published:	2025
Subjects:	Microbiology Biotechnology Ecology Inorganic Chemistry Plant Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified tent chaotic mapping hybrid driving mode hybrid commercial vehicles global search capability energy management strategy efficient working areas driving charging mode cauchy gaussian mutation suboptimal vehicle economy div >< p fuzzy control ems optimal control whole vehicle vehicle ’ fuzzy controllers fuzzy controller torque distribution time state soc </ poor adaptability paper proposes optimized multi optimization objectives motor based lévy flight local optima integration compensates integrate strategies fuel consumption fluctuation change charge (< based ems
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