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Autonomous Solar Vehicle Development - Energy Management (Power Balance Realization While Enhancing Battery Lifetime)


Christian Peter

Master Thesis, FS12 (10273)

The world's demand in energy requires always new ideas and improvements of how to deliver energy from the source or a network of sources to the end consumer. This is also the case in hybrid electric vehicles (HEV) applications. In this project two storage units are used to drive a small scaled size HEV. The report of this project reveals how to approach modeling the battery's state of health (SoH). It continues depicting how to use dierent energy modules in a distributed/ cascaded manner, such that the battery's lifetime is enhanced, i.e. the operating costs are minimized. The cascaded control hierarchy is layed out in two dierent ways. First, a classical control regime consisting of proportional, integral (PI) and derivative (PID) action control laws is implemented, then in a second step, the classical controllers are replaced by model predictive (MPC) ones, which empower to operate the system while considering the battery's lifetime and the HEV's system constraints. The control laws have been veried in simulation using Matlab and Simulink, followed by a validation in a testbed. It is shown, that already simple low-pass ltering techniques combined with the model predictive control help to enhance battery lifetime most of the time more than using simple classical controllers to achieve the power share.


Type of Publication:

(12)Diploma/Master Thesis

S. Mariéthoz

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2013:IFA_4407
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