چکیده مقاله
This paper proposes a hierarchical front axle regenerative braking strategy for hybrid electric vehicles that integrates axle level force distribution with a data driven fuzzy control approach In the first layer, braking force is distributed between front and rear axles based on braking intensity to ensure ECE R13 compliance and vehicle stability, with increased front axle contribution under permissible limits to enhance regenerative potential In the second layer, an adaptive neuro fuzzy inference system allocates front axle braking between mechanical and regenerative components using vehicle speed, braking demand, and battery state of charge Simulation and experimental results confirm accurate nonlinear brake blending, compliance with stability and battery protection constraints, and improved regenerative energy recovery The proposed strategy is suitable for vehicle level control evaluation and real time implementation in electrified powertrains
کلیدواژهها
نویسندگان
Amin Ghadirzadeh
Junior Researcher, ECM Department Crouse PJS Co
Hossein Sohanian
Senior Researcher, ECM Department Crouse PJS Co
Elahe Rezaeifard
Team Lead, ECM Department Crouse PJS Co
Mohammad Moradi
Head of Department, ECM Department Crouse PJS Co
شیوه ارجاع
Ghadirzadeh, Amin and Sohanian, Hossein and Rezaeifard, Elahe and Moradi, Mohammad,1404,Data-Driven Front-Axle Regenerative Braking for Hybrid Electric Vehicles,2nd Automotive Industries Recent Advances and Future Trends,Tehran
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مجموعه مقالات دومین کنفرانس پیشرفت های اخیر و روندهای آینده در صنعت خودرو29 بهمن 1404 · تهران