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Open AccessArticle

Adaptive Rule-Based Energy Management Strategy for a Parallel HEV

1
Department of Electrical and Computer Engineering, Indiana University—Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA
2
Allison Transmission, Inc., One Allison Way, Indianapolis, IN 46222, USA
*
Author to whom correspondence should be addressed.
Energies 2019, 12(23), 4472; https://doi.org/10.3390/en12234472
Received: 24 October 2019 / Revised: 21 November 2019 / Accepted: 21 November 2019 / Published: 24 November 2019
(This article belongs to the Collection Electric and Hybrid Vehicles Collection)
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. View Full-Text
Keywords: fuel consumption; HEV; PRBS; hybridization; rule-based fuel consumption; HEV; PRBS; hybridization; rule-based
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MDPI and ACS Style

Bagwe, R.M.; Byerly, A.; dos Santos, E.C., Jr.; Ben-Miled, Z. Adaptive Rule-Based Energy Management Strategy for a Parallel HEV. Energies 2019, 12, 4472.

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