A Novel Supervisory Control and Analysis Approach for Hybrid Electric Vehicles

2020-01-1192

04/14/2020

Event
WCX SAE World Congress Experience
Authors Abstract
Content
There are many methods developed over the past decade to solve the problem of energy management control for hybrid electric vehicles. A novel method is introduced in this paper to address the same problem which reduces the problem to a set of physical equations and maps. In simple terms, this method directly calculates the actual cost or savings in fuel energy from the generation or usage of electric energy. It also calculates the local optimum electric power that yields higher electric fuel savings (EFS) or lower electric fuel cost (EFC) in the fuel energy that is spent for driving the vehicle (which in general does not take the system to the lowest engine Brake Specific Fuel Consumption (BSFC)). Based on this approach, a control algorithm is developed which attempts to approach the global optimum over a drive cycle. The main objective of this paper is to introduce the theoretical background and mathematical formulation of EFX (EFS/EFC) metric and explain the development of EFX maps for a specific architecture. Later, these maps are used to develop a control strategy which is implemented to simulate a charge-sustaining WLTP drive-cycle. This novel method is also implemented in real-time in a BorgWarner demo vehicle with P0 mild-hybrid architecture. Fuel economy improvement, SOC sensitivity and test results are discussed.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-1192
Pages
9
Citation
Kondipati, N., Liu, X., Mohon, S., Semenov, D. et al., "A Novel Supervisory Control and Analysis Approach for Hybrid Electric Vehicles," SAE Technical Paper 2020-01-1192, 2020, https://doi.org/10.4271/2020-01-1192.
Additional Details
Publisher
Published
Apr 14, 2020
Product Code
2020-01-1192
Content Type
Technical Paper
Language
English