Energy-saving research of the bus secondary hydraulic transmission system under variable pressure rail

DOI

10.2991/aest-16.2016.58How to use a DOI?

Keywords

secondary hydraulic transmission; mathematical model; fuzzy-neural network control; constanttorque control; constant torque control.

Abstract

Inertial and gravitational energy of load can be regenerated from hydrostatic transmission with secondary regulation. Based on the working principles and energy-saving theory of the secondary regulating transmission system under variable pressure rail, regenerating the transmission system's inertial energy by controlling constant torque and constant power were put forward. A secondary hydraulic transmission control method is presented based on the fuzzy-neural network control which introduces the fuzzy control into neural network. The mathematical model of the system was established, then the simulations of the performance of the transmission system has been conducted. The conclusion was made that the inertial energy can be reclaimed and reused in the system by the application of the secondary regulation technology, and braking by controlling constant torque or constant power is stable, it can ensure the security and comfort of braking at high speed and also permits changing the efficiency of recovery by changing the braking torque, and permits changing the efficiency of recovery by changing the power.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Faye Zang
AU  - Xiangzhen Kong
PY  - 2016/11
DA  - 2016/11
TI  - Energy-saving research of the bus secondary hydraulic transmission system under variable pressure rail
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 432
EP  - 437
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.58
DO  - 10.2991/aest-16.2016.58
ID  - Zang2016/11
ER  -