Convex Optimization for Energy Management of Parallel Hybrid Electric Vehicles

S Hadj-Said 1, 2 Guillaume Colin 1 A Ketfi-Cherif 2 Y Chamaillard 1
1 F2ME
PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique
Abstract : This paper presents a comparison between two optimization methods for the energy management of a parallel hybrid electric powertrain: convex programming and Pontryagin's Minimum Principle (PMP). The objective of this comparison is to validate the analytical solution by comparing the results with the ones obtained on the original model with Dynamic Programming (DP). Therefore, before its application, some necessary approximations and convexification were made on the original nonlinear and non-convex model. The validation of the simplified model was also carried out. In this paper, two cases are studied. In the first case, the supervisory control considers only the torque split between the Internal Combustion Engine (ICE) and the Electric Machine. In the second case, a binary decision ICE On/Off is included in the optimization problem. In order to solve the problem of the binary decision, which makes the problem non-convex, a analytical solution based on PMP is then proposed. The results show that the analytical solution is close to the optimal solution given by DP.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal-univ-orleans.archives-ouvertes.fr/hal-01338034
Contributor : Guillaume Colin <>
Submitted on : Monday, June 27, 2016 - 5:05:06 PM
Last modification on : Monday, July 16, 2018 - 4:01:53 PM

File

IFAC_AAC2016_HADJ-SAID_VF.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01338034, version 1

Citation

S Hadj-Said, Guillaume Colin, A Ketfi-Cherif, Y Chamaillard. Convex Optimization for Energy Management of Parallel Hybrid Electric Vehicles. 8th IFAC International Symposium on Advances in Automotive Control (AAC2016), Jun 2016, Kolmarden, Sweden. pp.278-283. ⟨hal-01338034⟩

Share

Metrics

Record views

257

Files downloads

528