M. Masih-Tehrani , M.r. Hairi-Yazdi , V. Esfahanian,
Volume 4, Issue 2 (6-2014)
Abstract
In this paper, the development and optimization of Power Distribution Control Strategy (PDCS) have been
performed for a Hybrid Energy Storage Systems (HESS) of a Series Hybrid Electric Bus (SHEB). A
common PDCS is based on the use of Ultra-Capacitor (UC) pack. A new simple PDCS is developed as a
battery based one. For the battery based PDCS, four parameters are introduced for tuning the PDCS
performance. The Design of Experiment (DoE) method is utilized to optimize the parameters of the battery
based PDCS for the driving cycles and the vehicle controllers. The results show the optimized battery based
PDCS performance for some cases are better than the UC based PDCS performance. Vice versa, for some
cases the performance of the UC based PDCS is better than the battery based PDCS. Finally, the costs
rising from the HESS (about 66%) is reasonable when considering the over double increase in the battery
life-time when using an appropriate PDCS.
Mr. Hosein Hamidi Rad, Prof. Mohsen Esfahanian, Prof. Saeed Behbahani,
Volume 13, Issue 3 (9-2023)
Abstract
This study examines the impact of a fuzzy logic-based control strategy on managing peak power consumption in the auxiliary power unit (APU) of a hybrid electric bus. The APU comprises three components: an air compressor, a power steering system, and an air conditioning system (AC) connected to an electric motor. Initially, these components were simulated in MATLAB-SIMULINK software. While the first two were deemed dependent and independent of vehicle speed, respectively, the stochastic behavior of the steering was emulated using the Monte Carlo method. Subsequently, a fuzzy controller was designed and incorporated into the APU to prevent simultaneous operation of the three accessories as much as possible. The results of repeated simulations demonstrated that the designed fuzzy controller effectively distributed the operation of the accessories throughout the driving cycle, thereby reducing overlaps in auxiliary loads. Consequently, the APU's average and maximum power consumption exhibited significant reductions. Furthermore, through multiple simulations with an upgraded power system model integrating the new APU-controller package, it was established that the proposed strategy for managing auxiliary loads in the bus led to lower fuel consumption and emissions.
