On-line loss and global efficiency simulation tool for electric vehicles applications

Abstract

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Minimum Copper Losses Per Torque Optimization on Electrically Excited Synchronous Motors for Electric Vehicles Applications

“…10) whereas the minCLPT algorithm generated around 79% less losses, estimated at 700 Watts. These results would be further explored and the method will be implemented on an experimental setup with the possibility of adding more variables into the equation such as machine parameter variations, magnetic saturation and other drive train loss elements which algebraic formulations can be found in [9]. VI.…”

“…The electric vehicle battery which DC bus voltage is denoted by 𝑉 𝐷𝐶 , is connected to the power converters stage consisting of a three-phase inverter feeding the machine stator windings and a single-phase chopper connected to the field winding. Converters modeling technique is detailed in [9] where the average converter model is used for that matter. Whereas the machine rated values and parameters are listed in Table 1.…”

“…There are numerous current triplets satisfying a torque-speed setpoint, thus adding the minimum current as an optimization criterion to the mathematical problem allows to find one or several combinations satisfying the given objective. However, voltage and current limits, expressed in ( 8)- (9), are important constraints to take into account in order to determine control algorithm limits based on the machine and power converters physical limitations.…”

“…The enhanced copper losses optimization method denoted by minimum Copper Losses per Torque (minCLPT) is then addressed in section IV, where the Lagrangian multiplier method is used to determine the minimum of a constrained non-linear multi variable function including both armature and field winding currents. Finally, the energy efficiency and speed limits improvements are emphasized via simulation results in section V, using the EESM simulation tool presented in [9].…”