Abstract
An optimal control based methodology is proposed for minimizing the combustible fuel consumption of a hybrid vehicle equipped with an internal combustion engine, a high-speed flywheel, and a battery. The three dimensionality of the road is recognized by the optimal control calculations. Fuel efficiency is achieved by optimally exploiting the primary and secondary energy sources and controlling the vehicle so that the fuel consumption is minimized for a given but arbitrary three-dimensional route. A time-of-arrival constraint rather than a driving cycle is used. The benefits of using multiple auxiliary storage systems are demonstrated and a lower-bound estimate of the fuel consumption is presented.
| Original language | English |
|---|---|
| Article number | 8003493 |
| Pages (from-to) | 161-174 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Intelligent Vehicles |
| Volume | 2 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2017 |
| 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
- Batteries
- flywheels
- mathematical programming
- optimal control
- road vehicles
- vehicle driving
ASJC Scopus subject areas
- Artificial Intelligence
- Automotive Engineering
- Control and Optimization
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