Optimal Design of Shift Point Strategy for DCT Based on Particle Swarm Optimization

Zhang, Houzhong; Yang, Xiangtian; Sun, Xiaoqiang; Liang, Jingming

doi:10.3390/machines9090196

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Each particle has an initial speed and position, and a fitness value is determined by the fitness function. Each particle is given a memory function to remember the best position found; in addition, the speed of each particle determines the direction and distance of their flight so that the particle can search in the optimal solution space [35]. In each iteration of the optimization process, the particle updates its speed and position by comparing the fitness value and two extreme values: the optimal solution found by the particle itself (individual extreme value pbest) and the optimal solution found by the entire population (global extremum gbest).…”

Section: Psomentioning

confidence: 99%

An Energy Management Strategy and Parameter Optimization of Fuel Cell Electric Vehicles

Gao

Jia

2022

WEVJ

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This study involved a detailed analysis of an energy distribution strategy and the parameters of key components of fuel cell electric vehicles (FCEVs). In order to better utilize the advantages of multiple energy sources, the wavelet-fuzzy energy management method was used to adjust the demand power allocation among multiple energy sources, and particle swarm optimization (PSO) was used to solve highly nonlinear optimization problems under multi-dimensional and multi-condition constraints. The multi-objective optimization problem of predefined driving cycle powertrain parameters about fuel economy and system durability was studied. The parameters of the key components of the system were optimized, including the size parameters of the air com-pressor and the number of batteries and ultra-capacitors. Furthermore, the driving state under specific working conditions was analyzed, and a nonlinear model with system durability and fuel economy as the optimization objectives were established, which greatly reduced the costs, reduced the fuel consumption rate and extended the battery life. The simulation results showed that for a UDDS cycle, the FCS’s maximal net output power of 83 kW was optimal for the fuel economy and system durability of a fuel cell city bus.

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Section: Psomentioning

confidence: 99%

An Energy Management Strategy and Parameter Optimization of Fuel Cell Electric Vehicles

Gao

Jia

2022

WEVJ

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“…It simulates the evolution of an artificial population with individuals containing genes (optimization variables) through the selection, crossover, and mutation process [34]. Finally, the genes of the optimal individual in the last generation are decoded to obtain the optimal solution to the optimization problem [35].…”

Section: Genetic Algorithmmentioning

confidence: 99%

Nested Optimization of Oil-Circulating Hydro-Pneumatic Energy Storage System for Hybrid Mining Trucks

Jin

Gao

et al. 2021

Machines

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In order to recover and utilize the potential energy of mining trucks efficiently, this paper proposes a nested optimization method of a novel energy storage system. By analyzing the multi-objective optimization problem of the oil-circulating hydro-pneumatic energy storage system, a nested optimization method based on the advanced adaptive Metamodel-based global optimization algorithm is carried out. Research shows that this method only requires a short time to solve the complex nonlinear hybrid optimization problem and achieves better results. The optimized energy storage system has higher system efficiency, energy density, and volume utilization rate, thus obtaining a smaller system volume and weight. Verified by the bench experiment of its powertrain, the hydro-pneumatic hybrid mining truck with the optimized energy storage system significantly reduces its fuel consumption and CO₂ emission. Thus, it lays the foundation for the practical application of hydro-pneumatic hybrid mining trucks.

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“…Parameter optimization based on intelligent optimization algorithms is widely used in automotive engineering. For instance, the shift law of dual-clutch transmissions is optimized by the particle swarm optimization algorithm (PSO), and the results show that the dynamic performance and economy of optimized shifts have improved [9]. Compared to the PSO, the main benefit of the genetic algorithm is to avoid slipping into the local optimum solution; it has good global search capabilities, self-adaptability, and the ability to find a global optimal solution without relying on initial conditions [10].…”

Section: Introductionmentioning

confidence: 99%

The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design

Liu¹,

Ding²,

Zeng³

et al. 2022

Machines

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Intelligent manufacturing is developing rapidly nowadays, promoting the efficiency of manufacturing. In comparison, the design process has become a bottleneck in the product life cycle. In order to address this problem, this research develops an intelligent design method based on the automobile transmission system. Firstly, a mathematical model of the coupled vibration between the drive shaft and the main reducer was developed, and the vibration responses of the transmission system were simulated based on this mathematical model. Then, a test rig was developed to measure the vibration responses of the system; the measured results correlated well with the simulation results, indicating that the mathematical model can be used to investigate the coupled vibration between the drive shaft and the main reducer. Furthermore, the multiple parameters of the transmission system were optimized based on the mathematical model using the intelligent optimization algorithm. In particular, software was developed based on the intelligent optimization algorithm for the convenience of analysis, and the optimized results were acquired. The analysis results show that the vibration responses can be reduced when the optimized parameters are applied, indicating that the intelligent design method developed in this research is effective for the intelligent design of transmission system.

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Optimal Design of Shift Point Strategy for DCT Based on Particle Swarm Optimization

Cited by 4 publications

References 9 publications

An Energy Management Strategy and Parameter Optimization of Fuel Cell Electric Vehicles

An Energy Management Strategy and Parameter Optimization of Fuel Cell Electric Vehicles

Nested Optimization of Oil-Circulating Hydro-Pneumatic Energy Storage System for Hybrid Mining Trucks

The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design

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