Predictive online control for hybrids: Resolving the conflict between global optimality, robustness and real-time capability

Kutter, Steffen; Bäker, Bernard

doi:10.1109/vppc.2010.5729231

Cited by 17 publications

(13 citation statements)

References 4 publications

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“…The results show relative fuel consumption reduction for city drive cycle, but not for the urban drive cycle. In [50], a new A-ECMS with predictive dynamic programming approach is developed which is called DP-ECMS. In this approach, power and torque demand of the vehicle are predicted.…”

Section: Equivalent Consumption Minimization Strategymentioning

confidence: 99%

Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives

Karbaschian

Söffker

2014

Energies

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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.

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Section: Equivalent Consumption Minimization Strategymentioning

confidence: 99%

Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives

Karbaschian

Söffker

2014

Energies

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“…In this case, the constant, ξ 0 , can be replaced by a driving distance-dependent reference trajectory, as proposed by the authors of [50]. Another possibility for both charge-sustaining and plug-in HEVs is to use predictive information to calculate a reference trajectory for the SOC [42,51], as well as for the NO x emissions. Even further, predictive methods could be applied to directly optimize the Equations (32)- (35).…”

Section: Controller Structurementioning

confidence: 99%

Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle

et al. 2014

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Motivated by the fact that the real driving NO x emissions (RDE) of conventional diesel vehicles can exceed the legislation norms by far, a concept for the control of RDE with a diesel parallel hybrid electric vehicle (HEV) is proposed. By extending the well-known equivalent consumption minimization strategy (ECMS), the power split degree of freedom is used to control the NO x emissions and the battery state of charge (SOC) simultaneously. Through an appropriate formulation of the problem, the feedback control is shown to be separable into two dependent PI controllers. By hardware-in-the-loop (HIL) experiments, as well as by simulations, the proposed method is shown to minimize the fuel consumption while tracking a given reference trajectory for both the NO x emissions and the battery SOC.

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“…It is assumed that the resistance of the battery is independent of the SOC of the battery which is in accordance with LiFePO 4 chemistry [25]. Assuming that the ESS model is a perfect open circuit voltage source in series with an internal resistance, and using Eq.…”

Section: Energy Management Strategymentioning

confidence: 99%

Integrated thermal and energy management of plug-in hybrid electric vehicles

Shams-Zahraei

Kouzani

Kutter

et al. 2012

Journal of Power Sources

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h i g h l i g h t s < PHEVs' optimal energy management strategy (EMS) is highly influenced by temperature. < DP algorithm considers both battery charge and engine temperature state variables. < Optimal charge depletion trajectory represents an optimal engine temperature trajectory. < Real-time sub-optimal EMS can be realised by following the optimal charge trajectory. Keywords:Energy management strategy Temperature Thermal management Plug-in hybrid electric vehicle Optimal control Dynamic programing a b s t r a c t In plug-in hybrid electric vehicles (PHEVs), the engine temperature declines due to reduced engine load and extended engine off period. It is proven that the engine efficiency and emissions depend on the engine temperature. Also, temperature influences the vehicle air-conditioner and the cabin heater loads. Particularly, while the engine is cold, the power demand of the cabin heater needs to be provided by the batteries instead of the waste heat of engine coolant. The existing energy management strategies (EMS) of PHEVs focus on the improvement of fuel efficiency based on hot engine characteristics neglecting the effect of temperature on the engine performance and the vehicle power demand. This paper presents a new EMS incorporating an engine thermal management method which derives the global optimal battery charge depletion trajectories. A dynamic programming-based algorithm is developed to enforce the charge depletion boundaries, while optimizing a fuel consumption cost function by controlling the engine power. The optimal control problem formulates the cost function based on two state variables: battery charge and engine internal temperature. Simulation results demonstrate that temperature and the cabin heater/air-conditioner power demand can significantly influence the optimal solution for the EMS, and accordingly fuel efficiency and emissions of PHEVs.

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Predictive online control for hybrids: Resolving the conflict between global optimality, robustness and real-time capability

Cited by 17 publications

References 4 publications

Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives

Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives

Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle

Integrated thermal and energy management of plug-in hybrid electric vehicles

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