The Development of an Optimal Control Strategy for a Series Hydraulic Hybrid Vehicle

Hung, Chung-Chan; Vu, Tri-Vien; Chen, Chih-Keng

doi:10.3390/app6040093

Cited by 9 publications

(10 citation statements)

References 12 publications

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“…DP method is used to minimize the engine fuel consumption over the whole drive cycle by offline calculation. The specific fuel consumption is assumed to be constant during the step interval , and the fuel consumption at each is calculated in (13). The cost function of engine fuel consumption is expressed as (14):…”

Section: The Mathematicalmentioning

confidence: 99%

“…When the accumulator power is considered [13], the power variation ratio function is obtained from (15)-(17).…”

Section: = − (16)mentioning

confidence: 99%

“…It is meaningful to research the global optimal solution. Literature [13] studied optimal transmission shifting and power splitting factors of engines and hydraulic motors for HHVs using DP. The global optimal solution based on DP is global optimal offline but not an implementable solution.…”

Section: Introductionmentioning

confidence: 99%

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A Rule-Based Energy Management Strategy Based on Dynamic Programming for Hydraulic Hybrid Vehicles

Zhou

Liang

et al. 2018

Mathematical Problems in Engineering

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Energy management strategy is very important for hydraulic hybrid vehicles to improve fuel economy. The rule-based energy management strategies are widely used in engineering practice due to their simplicity and practicality. However, their performances differ a lot from different parameters and control actions. A rule-based energy management strategy is designed in this paper to realize real-time control of a novel hydraulic hybrid vehicle, and a control parameter selection method based on dynamic programming is proposed to optimize its performance. Firstly, the simulation model of the hydraulic hybrid vehicle is built and validated by the data tested from prototype experimental platform. Based on the simulation model, the optimization method of dynamic programming is used to find the global optimal solution of the engine control for the UDDS drive cycle. Then, the engine control parameters of the rule-based energy management strategy are selected according to the engine control trajectory of the global optimal solution. The simulation results show that the 100 km fuel consumption of the proposed rule-based energy management strategy is 12.7L, which is very close to the global optimal value of 12.4L and is suboptimal.

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Section: The Mathematicalmentioning

confidence: 99%

“…When the accumulator power is considered [13], the power variation ratio function is obtained from (15)-(17).…”

Section: = − (16)mentioning

confidence: 99%

See 1 more Smart Citation

A Rule-Based Energy Management Strategy Based on Dynamic Programming for Hydraulic Hybrid Vehicles

Zhou

Liang

et al. 2018

Mathematical Problems in Engineering

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“…Their Simulation results indicate that the potential for fuel economy improvement of delivery trucks with hydraulic hybrid propulsion can be as high as 47%. Chih-Wei Hung 23 applied Dynamic Programming methodology to derive the optimal power-splitting factor for the hybrid system for preselected driving schedules. The results show that the respective improvements in the fuel economy for the system are 71.53% and 56.78%, for Japan 1015 and Highway Fuel Economy Testing Driving Cycle (HWFET).…”

Section: Introductionmentioning

confidence: 99%

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Shen

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Heavy duty vehicles, especially special vehicles, including wheel loaders and sprinklers, generally work with drastic changes in load. With the usage of a conventional hydraulic mechanical transmission, they face with these problems such as low efficiency, high fuel consumption and so forth. Some scholars focus on the research to solve these issues. However, few of them take into optimal strategies the fluctuation of speed ratio change, which can also cause a lot of problems. In this study, a novel speed regulation is proposed which cannot only solve problems above but also overcome impact caused by speed ratio change. Initially, based on the former research of the Compound Coupled Hydro-mechanical Transmission (CCHMT), the basic characteristics of CCHMT are analyzed. Besides, to solve these problems, dynamic programming algorithm is utilized to formulate basic speed regulation strategy under specific operating condition. In order to reduce the problem caused by speed ratio change, a new optimization is applied. The results indicate that the proposed DP optimal speed regulation strategy has better performance on reducing fuel consumption by up to 1.16% and 6.66% in driving cycle JN1015 and in ECE R15 working condition individually, as well as smoothing the fluctuation of speed ratio by up to 12.65% and 19.01% in those two driving cycles respectively. The processes determining the speed regulation strategy can provide a new method to formulate the control strategies of CCHMT under different operating conditions particularlly under real-world conditions.

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“…Therefore, the hydraulic accumulator is a promising auxiliary power source for the hydraulic hybrid vehicle. Relative to system structure of the parallel connection or the mixed connection, the series connection can achieve a higher energy recovery rate [20]. Until now, there are few researches investigating the influencing factors for the energy recovery rate in the hydraulic hybrid vehicle with series connection, which has been gradually applied in some large engineering machinery and heavy vehicle.…”

Section: Introductionmentioning

confidence: 99%

Improving Energy Recovery Rate of the Regenerative Braking System by Optimization of Influencing Factors

Shen

2019

Applied Sciences

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The braking energy can be recovered and recycled by the regenerative braking system, which is significant to improve economics and environmental effect of the hydraulic hybrid vehicle. Influencing factors for the energy recovery rate of regenerative braking system in hydraulic hybrid vehicle were investigated in this study. Based on the theoretical analysis of accumulator and energy recovery rate, modeling of the regenerative braking system and its energy management strategy was conducted in the simulation platform of LMS Imagine Lab AMESim. The simulation results indicated that the influencing factors included braking intensity, initial pressure of the accumulator, and initial braking speed, and the optimal energy recovery rate of 87.61% was achieved when the parameters were 0.4, 19 MPa, and 300 rpm, respectively. Experimental bench was constructed and a series of experiments on energy recovery rate with different parameters were conducted, which aimed to validate the simulation results. It could be found, that with the optimal parameters obtained in the simulation process, the actual energy recovery rate achieved in the experiment was 83.33%, which was almost consistent with the simulation result. The obtained high energy recovery rate would promote the application of regenerative braking system in the hydraulic hybrid vehicle.

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The Development of an Optimal Control Strategy for a Series Hydraulic Hybrid Vehicle

Cited by 9 publications

References 12 publications

A Rule-Based Energy Management Strategy Based on Dynamic Programming for Hydraulic Hybrid Vehicles

A Rule-Based Energy Management Strategy Based on Dynamic Programming for Hydraulic Hybrid Vehicles

Optimization for speed regulation strategy of compound coupled hydro-mechanical transmission

Improving Energy Recovery Rate of the Regenerative Braking System by Optimization of Influencing Factors

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