Research on power coupling characteristics and acceleration strategy of electro-hydrostatic hydraulic hybrid power system

Liu, Huanlong; Li, Dafa; Chen, Guanpeng; Xie, Caifeng; Wang, Jiawei; Feng, Lei

doi:10.1177/0959651820987729

Cited by 3 publications

(2 citation statements)

References 32 publications

(33 reference statements)

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“…Liu Huanlong et al proposed a coupling model of an electro-hydraulic hybrid power system applied to automobiles, which has optimization effects on power and economy. Additionally, this method has better energy-saving characteristics when applied to the vehicle starting and acceleration [17].…”

Section: Related Workmentioning

confidence: 99%

Parameter Optimization and Control Strategy of Hybrid Electric Vehicle Transmission System based on Improved GA Algorithm

Luo

2023

Processes

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Most of the traditional hybrid electric vehicles (HEVs) choose to optimize the transmission ratio parameters, and the parameter changes of the whole vehicle and other components are only calculated as fixed values. It is difficult to give consideration to the optimization of the economy and power of hybrid vehicles. Therefore, the research proposes to build the transmission ratio, the required power of the vehicle’s working mode, and other models through the dynamic analysis. The parameters of the whole vehicle are optimized on the basis of parameter matching. At the same time, this paper chooses to adopt a hybrid optimization algorithm, combining particle swarm optimization (PSO) and genetic algorithm (GA). The weighted average method and constraint method are used to design the fitness function. The simulation experiment is carried out by Cruise software and MATLAB. Compare the iterative fitness of the PSO-GA algorithm with the traditional PSO and GA algorithm. It can be concluded that PSO-GA converges at the 12th iteration, with an average optimal fitness of 0.5239, which is higher than the traditional algorithm. At the same time, the parameter optimization of PSO-GA and the simulated annealing algorithm is compared. It is found that in the same task, the gasoline consumption after SA algorithm optimization is 0.561 L, while the fuel consumption under PSO-GA algorithm optimization is 0.475 L. The method proposed in this study has improved the power and economy of the HEV model and is effective.

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Section: Related Workmentioning

confidence: 99%

Parameter Optimization and Control Strategy of Hybrid Electric Vehicle Transmission System based on Improved GA Algorithm

Luo

2023

Processes

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“…During the regenerative braking process, mechanical energy is converted into pressure energy stored in the high-pressure hydraulic accumulator by the hydraulic pump, while the nitrogen in the low-pressure accumulator expands to provide backpressure, and vice versa in the subsequent acceleration process. 53 For the closed mass layout, the related research is few. However, it is a promising ESS layout that has the advantages of high power density and low cost.…”

Section: Open Layout and Closed Layoutmentioning

confidence: 99%

Layout analysis of compressed air and hydraulic energy storage systems for vehicles

Jin

Hong

et al. 2022

Advances in Mechanical Engineering

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The compressed air energy storage system has a better energy density, while the widely used hydraulic one is superior in power performance. Therefore, they are suitable for different hybrid vehicles, which require a comparative study on the performances and vehicle applicability of the broad pressure energy storage system layouts. In this paper, an integrated mathematical model of four basic pressure layouts is presented for characteristic analysis and applicability discussion. Results show that the open volume layout achieves the best power performance with the flow specific power of 13.92 MJ/m3, thus it is suitable for heavy hybrid trucks and mobile machinery. The open mass layout achieves the best energy performance with the energy density of 124.35 MJ/m3, which can be used in light new energy passenger vehicles. And the performance of the closed volume layout is close to the open volume layout with the flow specific power of 9.78 MJ/m3, so it could be applied to middle and light hybrid trucks. This research provides a basis for the hybrid method of pressure energy storage system layouts for vehicles, and could be applied in the design and research of non-electric hybrid vehicles in the near future.

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Drive force allocation control based on pump displacement optimization for hydraulic hybrid motor-assisted system

Zhang,

Yang,

Duan

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part D:

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To achieve rational coordination of the front and rear axle torque of commercial vehicles equipped with hydraulic hybrid motor-assisted systems (HHMAS), and further enhance the vehicle’s fuel efficiency and traction capability. A hydraulic pump displacement control strategy based on energy-efficiency-orientation (EEO) is proposed for driving force distribution. Firstly, the efficiency is analyzed from the perspective of system energy flow. Then, considering the time-varying efficiency characteristics of the hydraulic variable pump and hydraulic motor, the stochastic dynamic optimization problem is modeled as a markov decision process, and a value function estimation method is introduced to approximate the optimal energy efficiency of the entire HHMAS. Finally, the results indicate that the EEO strategy can enhance the fuel economy of vehicles, with a fuel-saving rate of 6.3% compared to the wheel-speed-following-control (WSFC) strategy. In addition, the proposed strategy exhibits superior traction capacity and climbing ability compared to the traditional WSFC strategy.

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Research on power coupling characteristics and acceleration strategy of electro-hydrostatic hydraulic hybrid power system

Cited by 3 publications

References 32 publications

Parameter Optimization and Control Strategy of Hybrid Electric Vehicle Transmission System based on Improved GA Algorithm

Parameter Optimization and Control Strategy of Hybrid Electric Vehicle Transmission System based on Improved GA Algorithm

Layout analysis of compressed air and hydraulic energy storage systems for vehicles

Drive force allocation control based on pump displacement optimization for hydraulic hybrid motor-assisted system

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