Optimal design of power-split transmissions for hydraulic hybrid passenger vehicles

Cheong, Kai Loon; Li, Perry Y.; Chase, Thomas R.

doi:10.1109/acc.2011.5991509

Cited by 12 publications

(8 citation statements)

References 6 publications

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“…Simultaneous optimization approaches are also used by Sun (2010) and Liu and Ju (2010) for series and parallel hydraulic hybrids, treating the design as a multi-objective optimization problem with a-priori determined weighting factors. Cheong, Li, and Chase (2011) apply a bi-level optimization approach to the design of a power-split hydraulic hybrid compact vehicle using the Nelder-Mead algorithm for transmission parameterization, and the Lagrange multiplier method to solve the control problem. Similarly, Moulik, Karbaschian, and Söffker (2013) use a combination of a genetic algorithm and simulated annealing to optimize a series hydraulic hybrid drivetrain.…”

Section: Design Optimization For (S)hhvmentioning

confidence: 99%

Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle

Bær

Ericson

Krus

2019

Engineering Optimization

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Simulation-based optimization is a useful tool in the design of complex engineering products. Simulation models are used to capture numerous aspects of the design problem for the objective function. Optimization results obtained can be assessed from various perspectives. In this study, component and control optimization of a series hydraulic hybrid vehicle is used as an application, and different robustness and performance aspects are evaluated. Owing to relatively high computational loads, efficient optimization algorithms are important to provide sufficient quality of results at reasonable computational costs. To estimate problem complexity and evaluate optimization algorithm performance, the definitions for information entropy and the related performance index are extended. The insights gained from various simulation-based optimization experiments and their subsequent analysis help characterize the efficiency of the optimization problem formulation and parameterization, as well as optimization algorithm selection with respect to parallel computation capabilities for further development of the model and optimization framework. ARTICLE HISTORY

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Section: Design Optimization For (S)hhvmentioning

confidence: 99%

Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle

Bær

Ericson

Krus

2019

Engineering Optimization

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“…Additional modes are obtained by locking up PM2 when engine is on ( Parallel mode), and by locking up PM1 and PM2 respectively when the engine is dis-engaged (PM2-only, PM1-only modes). In [8], more additional modes can be added but these are not used here. …”

Section: Hmt Architecturementioning

confidence: 99%

“…Table IV shows the vehicle parameters used in this study. The design optimization procedure is similar to that proposed in [8] and is briefly described next. Pump …”

Section: Optimization Of Vehicle Design and Energy Management Comentioning

confidence: 99%

“…(5) is typically computationally expensive. However, by assuming that system pressure is constant and accumulator size is unconstrained, the Lagrange Multiplier method can be used to speed up the evaluation of the energy management control and the evaluation of the fuel economy for a given design [1], [8]. The optimal control becomes:…”

Section: Optimization Of Hybrid Operationmentioning

confidence: 99%

“…2 shows an example comparisons of the overall drive-train efficiencies as a function of the efficiency of the hydraulic components η hydraulic for the 3 architectures. Analysis, design and control of specific hydraulic hybrid architectures, especially power-splits are reported in many articles, including [4], [1], [8], [10], [7]. Comparisons between different hydraulic and electric power-split hybrids were presented in [9].…”

Section: Introductionmentioning

confidence: 99%

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Fuel economy comparisons of series, parallel and HMT hydraulic hybrid architectures

Cheong

et al. 2013

2013 American Control Conference

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Abstract-Since hydraulic hybrid vehicles are power dense and do not require costly batteries, they have the potential to achieve high fuel economy and performance and at low cost. The three main classes of hydraulic hybrid architectures are series, parallel and hydro-mechanical (HMT) or powersplit. These architectures have intrinsic differences in transmission efficiencies and effectiveness in engine management. This paper compares the fuel economies and performance of these architectures and validates these features. Using a Toyota Prius like engine and chassis as common factors, fuel economies are compared for the "optimal" design for each architecture which considers both the physical designs and the engine/energy management. Physical design variables include pump/motor sizes and gear ratios. The effect of pump/motors efficiencies, extra gears and different engine efficiency maps are also studied. To improve computational efficiency in evaluating fuel economy, engine operation is restricted to several operating modes and the accumulator pressure is assumed to be constant. These simplifications enable the Lagrange multiplier method to be employed so as to quickly determine the optimal engine management control and the resulting fuel economy for each design iteration. Full optimal control computations without the simplifying assumptions for the optimized design for each architecture (using dynamic programming) verify that, despite these simplification, the estimated fuel economies are close. It is shown that hybrid HMT offers the best fuel economy for various hydraulic efficiencies, followed by parallel and series architectures. However, the difference between HMT and parallel architectures diminishes if the engine has a wide efficient speed range of operation. It is also shown that an extra mechanical gear ratio can significantly increase fuel economy for all three architectures.

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Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition

Luo,

Yang

et al. 2024

Lecture Notes in Mechanical Engineering

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Hydraulic regenerative braking system is a kind of complex MIMO (Multiple Input Multiple Output) system which is strongly nonlinear and multivariable, especially affected observably by the working condition. Moreover, it possesses the typical hybrid system characteristics since there are a multitude of nonlinear components internal which should result to continuous dynamic variation and discrete decision process. Hence, the traditional calculating method is difficult to analyze and evaluate the system accurately while operating on the actual working conditions. In order to solve the parameters optimization problem of the system which has significantly hybrid system characteristics constrained by the actual working conditions, this paper presents a new type of genetic algorithm by solving fitness function based on operation simulation, which provides a promising full condition optimization method for parameter optimization according to this kind of system. Simulation results show that this algorithm could optimize system configuration and enhance 3% for the braking energy recovery efficiency.

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Optimal design of power-split transmissions for hydraulic hybrid passenger vehicles

Cited by 12 publications

References 6 publications

Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle

Robustness and performance evaluations for simulation-based control and component parameter optimization for a series hydraulic hybrid vehicle

Fuel economy comparisons of series, parallel and HMT hydraulic hybrid architectures

Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition

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