MVM 2021 - Volume 47 - Number 3
  1. HYBRID POWER TRAINS FOR HIGH-SPEED TRACKED VEHICLES
    Authors: Luka Ponorac, Aleksandar Grkić, Slavko Muždeka
    DOI: 10.24874/mvm.2021.47.03.04
    Abstract:

    Unlike independent steering systems on wheeled vehicles, the steering mechanism on high-speed tracked vehicles are integrated in the power train system, therefore turning process consumes more engine power than straight driving scenario. To ensure the most efficient turning performance, power trains of high speed tracked vehicles are equipped with complex turning mechanism components which are, most frequently, mechanical or hydrostatic. In most cases mechanical components enable turning process by slipping of the clutches and other frictional components, which is inconvenient from the aspect of power balance, as well as from the performance aspect. On the other hand, hydrostatic components have low efficiency in certain working ranges. Modernization of the conventional mechanical systems by applying electric drive components can contribute to solving the mentioned downsides, given the fact that modern electric drive systems can have very sensitive torque and speed regulation which significantly improves electric drive performance. Applying these electric drives in auxiliary power flow ensures additional flexibility and the possibility for the power train to work in different working regimes, such as energy regeneration, which improves the power train efficiency. This paper includes a variety of possible hybrid power trains for high-speed tracked combat vehicles and a fully developed simulation model of a hybrid drive for power trains with two power flows (main and auxiliary). The simulation model provides the possibility to observe the quantified influence of the certain parameter change in the turning process and allows us to identify the important parameters for power train control during the turning process.

    Keywords: : hybrid power train, high-speed tracked vehicles, turning mechanisms, power train simulation model