Abstract
This paper introduces an online and intelligent energy management controller to improve the fuel economy of a power-split plug-in hybrid electric vehicle (PHEV). Based on analytic analysis between fuel-rate and battery current at different driveline power and vehicle speed, quadratic equations are applied to simulate the relationship between battery current and vehicle fuel-rate. The power threshold at which engine is turned on is optimized by genetic algorithm (GA) based on vehicle fuel-rate, battery state of charge (SOC) and driveline power demand. The optimal battery current when the engine is on is calculated using quadratic programming (QP) method. The proposed algorithm can control the battery current effectively, which makes the engine work more efficiently and thus reduce the fuel-consumption. Moreover, the controller is still applicable when the battery is unhealthy. Numerical simulations validated the feasibility of the proposed controller.
| Original language | English |
|---|---|
| Pages (from-to) | 416-426 |
| Number of pages | 11 |
| Journal | Journal of Power Sources |
| Volume | 248 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fuel-rate
- Genetic algorithm (GA)
- Plug-in hybrid electric vehicle (PHEV)
- Quadratic programming (QP)
- State of charge (SOC)
- State of health (SOH)
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