Power management strategy for a parallel hybrid electric truck
University of Michigan–Ann Arbor · Robotics Research (United States)
Abstract
Hybrid vehicle techniques have been widely studied recently because of their potential to significantly improve the fuel economy and drivability of future ground vehicles. Due to the dual-power-source nature of these vehicles, control strategies based on engineering intuition frequently fail to fully explore the potential of these advanced vehicles. In this paper, we present a procedure for the design of a near-optimal power management strategy. The design procedure starts by defining a cost function, such as minimizing a combination of fuel consumption and selected emission species over a driving cycle. Dynamic programming (DP) is then utilized to find the optimal control actions including the gear-shifting…
Citation impact
- FWCI
- 32.98
- Percentile
- 100%
- References
- 20
Authors
4Topics & keywords
- Fuel efficiency
- Automotive engineering
- Truck
- Automotive industry
- Dynamic programming
- Optimal control
- Driving cycle
- Hybrid vehicle
- Affordable and clean energy