Masafumi Miyatake

The train on energy storage device called on-board rail vehicle is able to store regenerative energy on storage at breaking and run under catenary-free condition, but we must think how to charge to energy storage device. If it charged at station during stopping, it has one of the methods that include the charge from catenary. Then, if run the on-board rail vehicles for long railroad, the major problem is where to place the quick charging points. We propose to be focused on energy consumption by appropriate placing of charging stations because energy storage device dropped the open circuit voltage as SOC (state of charge) decrease and became low tractive force of motors. As a result, the low SOC caused more energy consumption for running trains. In this paper, we create a mathematical model of onboard energy storage train with an onboard high-power rechargeable lithium-ion battery under catenary-free conditions and placed of charging station and simulated to know relationship between electric energy and running under different SOC. Furthermore, we make the line model of 90[km] in total length and simulated the train electric energy consumptions the change of the electric energy consumptions by changing station to put on 2 patterns. We consider the change of the electric energy consumption by the difference of the charging station and suggest the systems of the onboard energy storage train, which can run on catenary-free condition.

In order to develop the train operation control algorithm for a group of trains, it is necessary to evaluate the energy efficiency and the operational robustness by simulations. Especially, energy efficient operation of a group of trains is so attracted as well as of each train. In this paper, a flow of the train traffic simulator and delay occurrence for operational robustness are stated briefly, and methods of modeling and calculation of a feeding circuit are stated in details, which are important technical elements to evaluate the energy efficiency in the train traffic simulation. The feature of our feeding circuit model is introduction of the "tie nodes" and the "tie matrix", which show that some nodes are in the same voltage. Introduction of them improves the pliability of the modeling and calculation according to change of feeding network composition. Applying the proposed model and calculation method in C++, the converged results were acquired in three test cases using the general-purpose calculation solver. The computation time and the calculation error are sufficiently less, even compared to the referential results by MATLAB. We are to verify accuracy of our model using field data and use it for development of train operation control algorithms.

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