Adaptive Rule-Based Energy Management Strategy for a Parallel HEV

Rishikesh Mahesh Bagwe, Andy Byerly, Euzeli Cipriano dos Santos and Zina Ben-Miled
Additional contact information
Rishikesh Mahesh Bagwe: Department of Electrical and Computer Engineering, Indiana University—Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA
Andy Byerly: Allison Transmission, Inc., One Allison Way, Indianapolis, IN 46222, USA
Euzeli Cipriano dos Santos: Department of Electrical and Computer Engineering, Indiana University—Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA
Zina Ben-Miled: Department of Electrical and Computer Engineering, Indiana University—Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA

Energies, 2019, vol. 12, issue 23, 1-17

Abstract: This paper proposes an Adaptive Rule-Based Energy Management Strategy (ARBS EMS) for a parallel hybrid electric vehicle (HEV). The aim of the strategy is to facilitate the aftermarket hybridization of medium- and heavy-duty vehicles. ARBS can be deployed online to optimize fuel consumption without any detailed knowledge of the engine efficiency map of the vehicle or the entire duty cycle. The proposed strategy improves upon the established Preliminary Rule-Based Strategy (PRBS), which has been adopted in commercial vehicles, by dynamically adjusting the regions of operations of the engine and the motor. It prevents the engine from operating in highly inefficient regions while reducing the total equivalent fuel consumption of the vehicle. Using an HEV model developed in Simulink ® , both the proposed ARBS and the established PRBS strategies are compared over an extended duty cycle consisting of both urban and highway segments. The results show that ARBS can achieve high MPGe with different thresholds for the boundary between the motor region and the engine region. In contrast, PRBS can achieve high MPGe only if this boundary is carefully established from the engine efficiency map. This difference between the two strategies makes the ARBS particularly suitable for aftermarket hybridization where full knowledge of the engine efficiency map may not be available.

Keywords: fuel consumption; HEV; PRBS; hybridization; rule-based (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/23/4472/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/23/4472/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:23:p:4472-:d:290330

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().