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| Content Provider | IET Digital Library |
|---|---|
| Author | Liu, Kaijia Jiao, Xiaohong Yang, Chao Wang, Weida Xiang, Changle Wang, Wei |
| Abstract | Energy management strategy (EMS) of plug-in hybrid electric buses (PHEBs) has a very important impact on the fuel economy. Currently there is still huge room to improve the performance of EMS, regarding the optimisation and real-time application potentials. With the rapid development of intelligent transportation systems, the emerging technologies, such as telematics, remote vehicle monitoring, cloud optimisation, and so on, provide an opportunity to realize this goal. Based on this, this study proposes an event-triggered intelligent EMS for PHEBs. Taking the demand torque of PHEB and the battery's state-of-charge as the inputs, and the electric motor torque as the output, triangle and trapezoid membership functions are chosen to construct a specialised fuzzy controller to accomplish torque split task in the studied PHEB. To further improve the fuzzy controller, an enhanced genetic algorithm is proposed to optimize its membership function parameters. Furthermore, to reduce the calculated load in the vehicle cloud optimisation process, an event-triggered mechanism is introduced. Finally, the proposed strategy is verified, and results show that the proposed strategy improves the fuel economy of the studied PHEB by 19% and 22% over that using the rule-based strategy, under the real-world driving cycle and China typical urban driving cycle, respectively. |
| Starting Page | 1153 |
| Ending Page | 1162 |
| Page Count | 10 |
| ISSN | 1751956X |
| Volume Number | 14 |
| e-ISSN | 17519578 |
| Issue Number | Issue 9, Sep (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/14/9 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0690 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2020-03-19 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Battery State-of-charge Combinatorial Mathematics Control Technology And Theory Demand Torque Electric Motor Torque Electric Motors Energy Management System Engines Environmental Issues Event-triggered Intelligent EMS Event-triggered Intelligent Energy Management Strategy Fuel Economy Fuzzy Control Fuzzy Controller Fuzzy Set Theory Genetic Algorithm Hybrid Electric Vehicle Hybrid Powertrain Ideal Fuel Consumption Intelligent Transport System Mechanical Drive And Transmissions Membership Function Parameter Optimisation Optimisation Technique PHEB Plug-in Hybrid Electric Bus Power Transmission Real-time Application Remote Vehicle Monitoring Road Traffic System Control Road Vehicle Rule-based Strategy Torque Split Task Transportation Trapezoid Membership Function Vehicle Cloud Optimisation Vehicle Fuel Economy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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