Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm
A newly developed plug-in hybrid electric vehicle is taken as research object and the vehicle simulation model is built by using CRUISE on the basis of completing the match of transmission parameters and control strategy design.An optimization model of plug-in HEV parameters is set up,applying optim...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2015-01-01
|
| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.034 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841548204270682112 |
|---|---|
| author | Yin Andong Zhang Yu Zhang Bingzhan Zhao Han Wang Ruofei |
| author_facet | Yin Andong Zhang Yu Zhang Bingzhan Zhao Han Wang Ruofei |
| author_sort | Yin Andong |
| collection | DOAJ |
| description | A newly developed plug-in hybrid electric vehicle is taken as research object and the vehicle simulation model is built by using CRUISE on the basis of completing the match of transmission parameters and control strategy design.An optimization model of plug-in HEV parameters is set up,applying optimization software Isight to integrate with CRUISE model.The constraints of the model are the designed power performance and the objective function is the fuel consumption and emission performance.The particle swarm optimization is applied to optimize the transmission system parameters and the control strategy parameter simultaneously.Compared the simulation results demonstrate that fuel consumption per hundred kilometer of PHEV is reduced by 12.5%and equivalent fuel consumption is reduced by 10.7% under UDDS driving cycle after optimization. |
| format | Article |
| id | doaj-art-257d397108894958bf890bd123dbb87b |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-257d397108894958bf890bd123dbb87b2025-01-10T14:07:12ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-0139586229916886Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization AlgorithmYin AndongZhang YuZhang BingzhanZhao HanWang RuofeiA newly developed plug-in hybrid electric vehicle is taken as research object and the vehicle simulation model is built by using CRUISE on the basis of completing the match of transmission parameters and control strategy design.An optimization model of plug-in HEV parameters is set up,applying optimization software Isight to integrate with CRUISE model.The constraints of the model are the designed power performance and the objective function is the fuel consumption and emission performance.The particle swarm optimization is applied to optimize the transmission system parameters and the control strategy parameter simultaneously.Compared the simulation results demonstrate that fuel consumption per hundred kilometer of PHEV is reduced by 12.5%and equivalent fuel consumption is reduced by 10.7% under UDDS driving cycle after optimization.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.034 |
| spellingShingle | Yin Andong Zhang Yu Zhang Bingzhan Zhao Han Wang Ruofei Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm Jixie chuandong |
| title | Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm |
| title_full | Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm |
| title_fullStr | Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm |
| title_full_unstemmed | Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm |
| title_short | Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm |
| title_sort | optimization of plug in hev power and control strategy parameter based on the particle swam optimization algorithm |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.034 |
| work_keys_str_mv | AT yinandong optimizationofpluginhevpowerandcontrolstrategyparameterbasedontheparticleswamoptimizationalgorithm AT zhangyu optimizationofpluginhevpowerandcontrolstrategyparameterbasedontheparticleswamoptimizationalgorithm AT zhangbingzhan optimizationofpluginhevpowerandcontrolstrategyparameterbasedontheparticleswamoptimizationalgorithm AT zhaohan optimizationofpluginhevpowerandcontrolstrategyparameterbasedontheparticleswamoptimizationalgorithm AT wangruofei optimizationofpluginhevpowerandcontrolstrategyparameterbasedontheparticleswamoptimizationalgorithm |