TY - JOUR
T1 - Optimal braking force allocation for a four-wheel drive fully electric vehicle
AU - Pennycott, Andrew
AU - De Novellis, Leonardo
AU - Gruber, Patrick
AU - Sorniotti, Aldo
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Control allocation can be used onboard fully electric vehicles in order to maximise the regenerative power produced during braking manoeuvres. In this study, the efficiency characteristics of an electric motor are used in conjunction with constraints from European braking regulations in an offline optimisation procedure aimed at maximising the regenerative power yielded at different motor speed and braking demand conditions. The resulting optimisation data are used in a simple online control allocation approach via a look-up table. Simulation results highlight significant motor power loss reductions and small increases in regenerative power under various levels of braking demand in comparison with a wheel torque allocation scheme in which the front axle-to-total braking force ratio is maintained at a constant level. The approach does not rely on complex online optimisation schemes and can thus be practically implemented in real time on fully electric vehicles.
AB - Control allocation can be used onboard fully electric vehicles in order to maximise the regenerative power produced during braking manoeuvres. In this study, the efficiency characteristics of an electric motor are used in conjunction with constraints from European braking regulations in an offline optimisation procedure aimed at maximising the regenerative power yielded at different motor speed and braking demand conditions. The resulting optimisation data are used in a simple online control allocation approach via a look-up table. Simulation results highlight significant motor power loss reductions and small increases in regenerative power under various levels of braking demand in comparison with a wheel torque allocation scheme in which the front axle-to-total braking force ratio is maintained at a constant level. The approach does not rely on complex online optimisation schemes and can thus be practically implemented in real time on fully electric vehicles.
UR - https://www.scopus.com/pages/publications/84910074655
U2 - 10.1177/0959651814531124
DO - 10.1177/0959651814531124
M3 - Article
SN - 0959-6518
VL - 228
SP - 621
EP - 628
JO - Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
JF - Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
IS - 8
ER -