A Pseudospectral Strategy for Optimal Power Management in Series Hybrid Electric Powertrains

Zhou, Wei; Zhang, Chengning; Li, Junqiu; Fathy, Hosam K.

doi:10.1109/tvt.2015.2466671

Cited by 44 publications

(22 citation statements)

References 34 publications

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“…Direct approaches transform the optimization problem into a nonlinear programming (NLP) problem and have been used substantially as SCS in HEVs [20,21], due to the availability of many well-established NLP solvers. As for indirect methods they are solved as a boundary value problem resulting from the Pontryagin Minimum Principle (PMP) [22]. Even though both direct and indirect methods can be applied with slightly more complex vehicle models than with DP, these methods as well as DP are not applicable for complex high-fidelity vehicle and powertrain dynamic models.…”

Section: Introductionmentioning

confidence: 99%

Threshold-changing control strategy for series hybrid electric vehicles

Shabbir

Evangelou

2019

Applied Energy

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Section: Introductionmentioning

confidence: 99%

Threshold-changing control strategy for series hybrid electric vehicles

Shabbir

Evangelou

2019

Applied Energy

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“…For the series drive mode, the APU can always operate at the optimum efficiency point owing to decoupling of the APU from the driving conditions. Considering the working efficiency of the engine and ISG motor, the optimal fuel consumption rate of the APU can be expressed as a function of the output power [41]:…”

Section: (4) Performance Index Transformationmentioning

confidence: 99%

Development of Global Optimization Algorithm for Series-Parallel PHEV Energy Management Strategy Based on Radau Pseudospectral Knotting Method

et al. 2019

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The powertrain model of the series-parallel plug-in hybrid electric vehicles (PHEVs) is more complicated, compared with series PHEVs and parallel PHEVs. Using the traditional dynamic programming (DP) algorithm or Pontryagin minimum principle (PMP) algorithm to solve the global-optimization-based energy management strategies of the series-parallel PHEVs is not ideal, as the solution time is too long or even impossible to solve. Chief engineers of hybrid system urgently require a handy tool to quickly solve global-optimization-based energy management strategies. Therefore, this paper proposed to use the Radau pseudospectral knotting method (RPKM) to solve the global-optimization-based energy management strategy of the series-parallel PHEVs to improve computational efficiency. Simulation results showed that compared with the DP algorithm, the global-optimization-based energy management strategy based on the RPKM improves the computational efficiency by 1806 times with a relative error of only 0.12%. On this basis, a bi-level nested component-sizing method combining the genetic algorithm and RPKM was developed. By applying the global-optimization-based energy management strategy based on RPKM to the actual development, the feasibility and superiority of RPKM applied to the global-optimization-based energy management strategy of the series-parallel PHEVs were further verified.

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“…A pseudospectral method was employed to solve the optimal fuel economy optimal power split problem for a series hybrid electric bus in [12]. This was shown to be computationally more efficient than a standard DP approach.…”

Section: Introductionmentioning

confidence: 99%

Fuel Consumption Minimization, With Emissions Constraints, for Diesel Powered Cars

Pease

Limebeer

Fussey

2020

IEEE Trans. Contr. Syst. Technol.

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State of the art engine models are used to study the emissions production, and fuel consumption minimisation, of a typical diesel-powered road car operating on a variable-gradient road. The engine models, that have been fitted to measured test cell data, are used to represent both the performance and emissions generation characteristics of a typical diesel-fuelled car engine. Simple example are used to highlight the impact of elevation changes on the main structural features of fuel-optimal control problems (OCP). A typical semi-urban test route, with legislated speed limits and enforced stops, is used for performance evaluation purposes. The optimal functioning of a discretegear automatic transmission system, as opposed to a simple continuously variable transmission, is studied in detail. The main focus of this study is to evaluate the importance of threedimensional (3D) road influences (gradient and camber), preimposed time-of-arrival constraints, enforced stops, and emissions constraints, on the fuel consumption and optimal driving of typical diesel-powered road vehicles. This paper proposes the use of multiple-phase optimal control to elicit a better understanding of 'real' driving situations, and motivates a move away from standardised drive cycles.

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A Pseudospectral Strategy for Optimal Power Management in Series Hybrid Electric Powertrains

Cited by 44 publications

References 34 publications

Threshold-changing control strategy for series hybrid electric vehicles

Threshold-changing control strategy for series hybrid electric vehicles

Development of Global Optimization Algorithm for Series-Parallel PHEV Energy Management Strategy Based on Radau Pseudospectral Knotting Method

Fuel Consumption Minimization, With Emissions Constraints, for Diesel Powered Cars

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