Smoothing the battery current in battery electric vehicles using a quantitative feedback theory designed MIMO-controller

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Smoothing the battery current in battery electric vehicles using a quantitative feedback theory designed MIMO-controller

Masjosthusmann, C. / Decius, N. / Köhler, U. / Büker, U.

A method is presented for smoothing the battery current in electric vehicles using a control theory approach that applies the Quantitative Feedback Theory. The strategy acts like a "virtual" capacitor by influencing different components in the vehicle, in this example the PTC heater and the drivetrain. The advantages in applying the Quantitative Feedback Theory are to handle model and plant uncertainties, be able to design MIMO controllers, the highly transparent design process and simple low order resulting controller designs. Furthermore it transparently supports the implementation of controller performance specifications. It was shown how the Quantitative Feedback Theory can be applied to design the desired MIMO controller for an uncertain plant with varying parameters. The cycle time was limited by the CAN bus to 100 ms. Increasing the sample frequency leads to a higher bandwidth and enables controller g₁ to react faster to disturbances. A combination with adaptive control could improve the results by reducing the uncertainty of the robust controller design and therefore increasing the controller's performance, because less overdesign is necessary. The results show that the method is able to design the desired controller. Further evaluations have to be performed directly on the prototype vehicle. To investigate the influence of further components the design can be extended what, however, results in increasing complexity and numerical computation effort. The basic square plant matrix P_{_} (2 x 2) then will be a general (mxn) system.