This paper proposes a multiobjective optimization methodology for speed and torque trajectories of a light electric vehicle (LEV) traveling on a predefined route. The procedure introduced accounts for speed constraints and various elevation profiles and involves determination of the overload operation tolerances. The proposed technique facilitates the detection of alternative tradeoffs between energy and time savings for a predefined racing circuit. The method is based on the segmentation of the itinerary and involves a two-step procedure. In a first step, speed optimization is performed by tolerating substantial overloading, while in a second step, the torque overload limits per segment are optimized as well. Simulations based on a LEV dynamic model and experiments on racing circuit illustrated significant savings for both trip duration and energy consumption with respect to the classic constant-speed control technique.
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Krasopoulos et al. (2017) studied this question.
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