Optimization of fuel-cell tram operation based on two dimension dynamic programming

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Abstract

This paper proposes an optimal control strategy based on the two-dimension dynamic programming (2DDP) algorithm targeting at minimizing operation energy consumption for a fuel-cell tram. The energy consumption model with the tram dynamics is firstly deduced. Optimal control problem are analyzed and the 2DDP strategy is applied to solve the problem. The optimal tram speed profiles are obtained for each interstation which consist of three stages: accelerate to the set speed with the maximum traction power, dynamically adjust to maintain a uniform speed and decelerate to zero speed with the maximum braking power at a suitable timing. The optimal control curves of all the interstations are connected with the parking time to form the optimal control method of the whole line. The optimized speed profiles are also simplified for drivers to follow.

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Zhang, W., Lu, X., Zhao, J., & Li, J. (2018). Optimization of fuel-cell tram operation based on two dimension dynamic programming. In IOP Conference Series: Earth and Environmental Science (Vol. 121). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/121/2/022018

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