Optimization of the powertrain and energy management control parameters of a hybrid hydraulic vehicle based on improved multi-objective particle swarm optimization-Reference-Cited by-同舟云学术

Optimization of the powertrain and energy management control parameters of a hybrid hydraulic vehicle based on improved multi-objective particle swarm optimization

Published:2020-11-16 Issue:11 Volume:53 Page:1835-1854
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Wang Zhong¹,Jiao Xiaohong¹

Affiliation:

1. School of Electrical Engineering, Yanshan University, Qinhuangdao, P.R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2020.1829612

Reference38 articles.

1. Framework for Simulation-Based Simultaneous System Optimization for a Series Hydraulic Hybrid Vehicle

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

3. A study of particle swarm optimization particle trajectories

4. A Theoretical Guideline for Designing an Effective Adaptive Particle Swarm

5. Parameters optimization and control strategy of power train systems in hybrid hydraulic excavators

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