Control of e-CVT to EV Mode Transition on Braking Deceleration Condition for a Compound Power-Split Hybrid Electrical Vehicle
| Autor: | Xuhui Tang, Zhiguo Zhao |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Test bench
General Computer Science model predictive control Powertrain Computer science 020209 energy 02 engineering and technology Automotive engineering Hybrid electrical vehicle 0203 mechanical engineering control of e-CVT to EV mode transition 0202 electrical engineering electronic engineering information engineering Torque General Materials Science Compound power-split HEV Continuously variable transmission General Engineering dynamic programming algorithm 020302 automobile design & engineering Power (physics) Jerk Model predictive control Hybrid system braking deceleration process lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 111954-111967 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2935039 |
| Popis: | The braking deceleration process of a compound power-split hybrid electrical vehicle is often accompanied by the switching process from electronic-continuously variable transmission (e-CVT) hybrid mode to pure electric mode. To reduce the impact of engine shutdowns on the powertrain, and improve the ride comfort of the vehicle, this study proposes a mode transition coordinated control strategy for the braking deceleration process of a compound power-split hybrid system. First, a powertrain dynamics model and resistance torque model of the engine shutdown process are established. Second, the driver's intention is identified, and the braking deceleration process is analyzed. Subsequently, the mode transition coordinated control strategy of e-CVT hybrid mode to pure electric mode is proposed and designed to distribute the output torque of each power source reasonably. Specifically, the optimal speed trajectory of the engine when it is dragged is designed based on a dynamic programming algorithm and is tracked with a model predictive control algorithm. Simulations and tests on a dynamic performance test bench show that the established control strategy can reduce the longitudinal jerk of the vehicle under the premise of satisfying driver braking demand. This effectively improves the ride comfort of the vehicle during mode transition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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