A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
Ohio University · Renault (France) · +1 more institution
Abstract
Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy. In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can…
Citation impact
- FWCI
- 39.44
- Percentile
- 100%
- References
- 17
Authors
3Topics & keywords
- Energy management
- Minification
- Fuel efficiency
- State of charge
- Automotive engineering
- Electric vehicle
- Computer science
- Equivalence (formal languages)
- Affordable and clean energy