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Simulated and Experimental Comparisons of Slip and Torque Control Strategies for Regenerative Braking in Instances of Parametric Uncertainties
Author(s) -
Maxime Boisvert,
Philippe Micheau,
Didier Mammosser
Publication year - 2015
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2015.p0235
Subject(s) - regenerative brake , parametric statistics , slip (aerodynamics) , control theory (sociology) , torque , threshold braking , matlab , computer science , automotive engineering , slip angle , vehicle dynamics , engineering , brake , mathematics , control (management) , physics , statistics , artificial intelligence , thermodynamics , aerospace engineering , operating system
Slip efficiency map & control law A three-wheel hybrid recreational vehicle was studied for the purpose of regenerative braking control. In order to optimize the amount of energy recovered from electrical braking, most of the existing literature presents optimal methods which consist in defining the optimal braking torque as a function of vehicle speed. The originality of the present study is to propose a new strategy based on the control of rear wheel slip. A simulator based on MATLAB/Simulink and validated with experimental measurements compared the two strategies and their sensitivities to variations in mass, slope and road conditions. Numerical simulations and experimental tests show that regenerative braking based on a slip controller was less affected by the majority of the parametric changes. Moreover, since the slip was limited, the longitudinal stability of the vehicle was thereby improved. It thus becomes possible to ensure optimal energy recovery and vehicle stability even in instances of parametric uncertainties.

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