Преглед Универзитет у Београду по теми

Приказ резултата 17384-17403 од 65051

      Тема
      Grci [2]
      Grčka dužnička kriza [1]
      grčki origano [1]
      grčko seme [1]
      grčko-jugoslovenski diplomatski odnosi [1]
      grčko-rimski stil [1]
      Great Albania [3]
      great awakening [1]
      Great Britain [5]
      Great Cormorant [1]
      Great field [1]
      Great Powers [3]
      Great powers [1]
      great powers [1]
      Great recession [1]
      Great scientific and engineering effoorts are being invested in improving the fuel economy and emission performance standards of powertrain systems amid ever-increasing legislative pressure. Hybrid powertrain systems, comprising a conventional internal combustion engine and an additional prime mover and its corresponding energy storage system, offeffoer great opportunities for fuel economy improvements. However, functional and control parameters optimization is of crucial importance in order to achieve the full extent of potential improvements. The subject of this dissertation is experimental and theoretical investigation into the ficeld of optimization of a hydraulic hybrid powertrain system intended for the propulsion of a transit bus. TheTheese hybrid propulsion solutions employ hydro-pneumatic accumulators for energy storage, which are characterized by low specific energy values. Because of this, it is of crucial importance to carefully choose the accumulator parameters in order to harness the maximum amount of regenerative braking energy during the deceleration phases that will yield the greatest fuel economy improvement. A comprehensive simulation model of a hydraulic hybrid powertrain system has been devised, which has allowed for the determination of the influfluuence of elastomeric foam mass, preload pressure and accumulator capacity on the resulting powertrain system efficfficciency and the potential fuel savings. For maximizing the achievable fuel savings, a neural network-based control algorithm trained using the optimal control trajectories derived using Dynamic Programming has been investigated. By applying the functional and optimal control optimizations presented in this dissertation, average fuel savings of 23.9% have been achieved in direction 1 of the transit bus driving cycle and 25.5% in direction 2. TheTheese ficgures represent 83.7% and 79.8% of the fuel economy improvements obtained using the unimplementable Dynamic Programming algorithm, respectively. [1]
      Great Serbia [1]
      Great Turkish War [1]
      Great War Island [1]
      greater palatine artery [1]