A Rule-Based Energy Management Strategy for a Plug-in Hybrid School Bus Based on a Controller Area Network Bus
Jiankun Peng,
Hao Fan,
Hongwen He and
Deng Pan
Additional contact information
Jiankun Peng: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Hao Fan: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Hongwen He: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Deng Pan: National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Energies, 2015, vol. 8, issue 6, 1-21
Abstract:
This paper presents a rule-based energy management strategy for a plug-in hybrid school bus (PHSB). In order to verify the effectiveness and rationality of the proposed energy management strategy, the powertrain and control models were built with MATLAB/Simulink. The PHSB powertrain model includes an engine model, ISG (integrated started and generator) model, drive motor model, power battery packs model, driver model, and vehicle longitudinal dynamics model. To evaluate the controller area network (CAN) bus performance features such as the bus load, signal hysteresis, and to verify the reliability and real-time performance of the CAN bus multi-node control method, a co-simulation platform was built with CANoe and MATLAB/Simulink. The co-simulation results show that the control strategy can meet the requirements of the PHSB’s dynamic performance. Meanwhile, the charge-depleting mode (CD) and charge-sustaining mode (CS) can switch between each other and maintain a state-of-charge (SoC) of around 30%, indicating that the energy management strategy effectively extends the working period of the CD mode and improves the fuel economy further. The energy consumption per 100 km includes 13.7 L diesel and 10.5 kW·h electricity with an initial SoC of 75%. The CANoe simulation results show that the bus communication performs well without error frames.
Keywords: plug-in hybrid school bus; energy management strategy; CANoe; co-simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (14)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:6:p:5122-5142:d:50496
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