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Optimal Control of a Mechanical Hybrid Powertrain

van Berkel, K ; Hofman, T ; Vroemen, B ; Steinbuch, M

IEEE Transactions on Vehicular Technology, February 2012, Vol.61(2), pp.485-497 [Periódico revisado por pares]

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  • Título:
    Optimal Control of a Mechanical Hybrid Powertrain
  • Autor: van Berkel, K ; Hofman, T ; Vroemen, B ; Steinbuch, M
  • Assuntos: Mechanical Power Transmission ; Vehicles ; Engines ; Torque ; Fuels ; Energy Management ; Ice ; Continuously Variable Transmission (Cvt) ; Energy Management ; Flywheel ; Mechanical Energy Storage ; Optimal Control ; Engineering
  • É parte de: IEEE Transactions on Vehicular Technology, February 2012, Vol.61(2), pp.485-497
  • Descrição: This paper presents the design of an optimal energy management strategy (EMS) for a low-cost mechanical hybrid powertrain. It uses mechanical components only-a flywheel, clutches, gears, and a continuously variable transmission-for its hybrid functionalities of brake energy recuperation, reduction of inefficient part-load operation of the engine, and engine shutoff during vehicle standstill. This powertrain has mechanical characteristics, such as a relatively small energy storage capacity in the form of the compact flywheel and multiple driving modes to operate the powertrain because of the use of clutches. The optimization problem is complex because it is two fold: 1) to find the optimal sequence of driving modes and 2) to find the optimal power distribution between the engine, the flywheel, and the vehicle. Dynamic programming is used to compute the globally optimal EMS for six representative driving cycles. The main design criterion is the minimization of the overall fuel consumption, subject to the system's kinematics, dynamics, and constraints. The results provide a benchmark of the fuel-saving potential of this powertrain design and give insight into the optimal utilization of the flywheel system. In addition, the complexity (and computation time) of the problem is reduced by a priori (static) optimization of the power distribution for each driving mode. Static optimization of a dynamic optimization problem yields a suboptimal solution; however, the results show that the consequences on the fuel saving are small with respect to the optimal one (the difference is <; 0.8%).
  • Idioma: Inglês

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