Abstract
The major contribution of this paper is to propose a Fuzzy Logic Global Power Management Strategy for Hybrid Electric Vehicles (HEVs) that are driven by the PM-EVT (PM machine—Electric Variable Transmission) powertrain, such that the PM-EVT will have superior advantages over other types of powertrains, including the current Toyota Prius powertrain for series-parallel HEVs. This has been investigated throughout three aspects. The first is the optimum power splitting between the Internal Combustion Engine (ICE) and the PM-EVT. The second is maximizing the vehicle’s energy capture during the braking process. Finally, sustaining the State of Charge (SOC) of the battery is adopted by a robust ON/OFF controller of the ICE. These goals have been accomplished by developing three fuzzy logic (FL) controllers. The FL controllers are designed based on the state of charge of the battery, vehicle’s velocity, traction torque, and the vehicle’s requested power. The integration of the studied system is accomplished via the Energetic Macroscopic Representation (EMR) simulation model strategy based on the software Matlab/Simulink. The PM-EVT based HEV system with the proposed power management strategy is validated by comparing to the Toyota Prius HEV. The vehicle’s performances have been analyzed throughout a combined long-trip driving cycle that represents the normal and the worst operating conditions. The simulation results show that global control system is effective to control the engine’s operating points within the highest efficiency region, exploiting of EVT machines for capturing maximum braking energy, as well as to sustain the SOC of the battery while satisfy the drive ability. The proposed control strategy for the studied HEVs sounds interesting and feasible as supported by a large amount of simulation results.
Highlights
Energy management in vehicles is an important issue because it can significantly influence the performance of the vehicles and component sizing
The PM-Electric Variable Transmission (EVT) based Hybrid Electric Vehicles (HEVs) has been researched in depth with a fuzzy logic global power management strategy
This paper has attempted to help understand the underlying basis for the special advantages that the PM-EVT enjoys over other types of drivetrain for the series parallel HEVs
Summary
Energy management in vehicles is an important issue because it can significantly influence the performance of the vehicles and component sizing. The EVT machines are robustly controlled to cover the difference between the vehicle requirements (speed and torque) and the optimized output operating points (speed and torque) of the engine In such an HEV architecture, increasing the toque rating of the EM2 strongly guarantees coverage of hard driving conditions and at the same time permits the regenerative control strategy to maximize the captured energy exploiting the maximum amount of the braking energy to charge the battery.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have