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Hybrid electric tracked bulldozers use engine and ultracapacitor as the power sources for propulsion, and the fuel economy performance highly depend on the coordination of all subsystems. In this paper, a model predictive controller is developed to reduce the fuel consumption of hybrid electric tracked bulldozers. As an optimization-based approach, the model predictive controller usually requires...
In this brief, a model predictive control (MPC) is developed for the first time to solve the optimal energy management problem in tracked bulldozers equipped with advanced series hybrid powertrains. Hybrid bulldozers use two distinct power sources for propulsion, and their complex powertrain architecture requires the coordination of all subsystems to achieve target performances in terms of fuel economy,...
This paper presents a novel feature-based technique for path optimization problems, in which the performance index is defined to minimize the energy consumption of a rover with consideration of terrain, kinematic, and dynamic constraints. The proposed method estimates rover energy consumption by discretizing a path and by extracting statistical data for fast calculation of the performance index. The...
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