Abstract
The main advantage of hybrid powertrains is based on the efficient transfer of power and torque from power sources to the powertrain as well as recapturing of reversible energies without effecting the vehicle performance. The benefits of hybrid hydraulic powertrains can be better utilized with an appropriate power management. In this paper, different types of power management algorithms like off-line and on-line methods are briefly reviewed and classified. Finally, the algorithms are evaluated and compared. Therefore, different related criteria are evaluated and applied.
Highlights
Hybrid powertrain technology as a potential solution for reduction of vehicle fuel consumption is the central topic in the context of green powertrain technologies
Off-line globally optimized power managements are more optimal in comparison to the locally optimized power management, because global optimization methods use a wide range of input information for optimization, while local optimization methods define the optimal control based on individual working points
The sensitivity of the optimality of DP-optimized power management to the initial and final values of the system states is investigated. The results such as desired trajectories of accumulator state of charge (SoC) for different drive cycles are saved in a lookup table to be implemented as real-time power management
Summary
Hybrid powertrain technology as a potential solution for reduction of vehicle fuel consumption is the central topic in the context of green powertrain technologies. An approach for optimizing component size and topology-design for hybrid hydraulic vehicle (HHV). Besides application of a new power management optimization method to a hybrid electric vehicle (HEV), the effect of operational costs such as vehicle acceleration requirement on the component size and cost of the system are studied [8]. Generalization of this method for design of HEV is claimed. In this contribution, typical topologies and types of hybrid vehicles are briey introduced and compared. Because of the quantities of the discussed power management approaches and using different models, drive cycles, and topologies in different literatures, a numerical comparison of the results is not possible
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