Local energy management in hybrid electrical vehicle via Fuzzy rules system

Ahmed Neffati; Amira Marzouki; Ahmed Neffati; Amira Marzouki

doi:10.3934/energy.2020.3.421

AIMS Energy

2020, Volume 8, Issue 3: 421-437. doi: 10.3934/energy.2020.3.421

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Research article

Local energy management in hybrid electrical vehicle via Fuzzy rules system

Ahmed Neffati ^{1,2
,
,},
Amira Marzouki ³

1.
Department of Computer Network and Communication Engineering, King Khalid University, Abha 61413, Saudia Arabia
2.
Toulouse University LAPLACE, UMR 5213 INPT-UPS-CNRS, 2 rue C. Camichel BP 7122, 31071 Toulouse, France
3.
Laboratory of Signal Image and Energy Mastery, Engineering National Higher School of Tunis, Tunis, Tunisia

Received: 31 December 2019 Accepted: 08 May 2020 Published: 22 May 2020

The energy management of Hybrid Electric Vehicles (HEV) has been the subject of a great scientific effort in recent years. Moreover, in HEV the power must be managed in real time within system constraints. The proposed approach based on a fuzzy controller, uses different set of rules depending on different phases present in a mission profile. The challenge is to compute offline these rules and to manage online a decision method to switch optimally from one rule to the other depending on the power demand. From the proposed segmentation/prediction of the requested power profile to follow, derives a switch condition between three different rules in order to decrease the fuel consumption instead of applying a unique rule computed globally on a given profile. This strategy drives the fuel cell (FC) to operate at the points of best performance. It has been verified that if this method is applied online on an unknown profile, the consumption obtained is almost optimal.
- energy management,
- hybrid vehicle,
- Multi-source systems,
- mission analyze,
- fuzzy controller,
- segmentation
Citation: Ahmed Neffati, Amira Marzouki. Local energy management in hybrid electrical vehicle via Fuzzy rules system[J]. AIMS Energy, 2020, 8(3): 421-437. doi: 10.3934/energy.2020.3.421

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Abstract

The energy management of Hybrid Electric Vehicles (HEV) has been the subject of a great scientific effort in recent years. Moreover, in HEV the power must be managed in real time within system constraints. The proposed approach based on a fuzzy controller, uses different set of rules depending on different phases present in a mission profile. The challenge is to compute offline these rules and to manage online a decision method to switch optimally from one rule to the other depending on the power demand. From the proposed segmentation/prediction of the requested power profile to follow, derives a switch condition between three different rules in order to decrease the fuel consumption instead of applying a unique rule computed globally on a given profile. This strategy drives the fuel cell (FC) to operate at the points of best performance. It has been verified that if this method is applied online on an unknown profile, the consumption obtained is almost optimal.

References

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