Comparison of experimental results.

<div><p>In order to solve the problem of poor adaptability and robustness of the rule-based energy management strategy (EMS) in hybrid commercial vehicles, leading to suboptimal vehicle economy, this paper proposes an improved dung beetle algorithm (DBO) optimized multi-fuzzy control EMS...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zhihao Li (359073) (author)
مؤلفون آخرون:	Ping Xiao (1600990) (author), Jiabao Pan (5318612) (author), Wenjun Pei (13033237) (author), Aoning Lv (20495930) (author)
منشور في:	2025
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Comparison of experimental results.

مواد مشابهة