A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles | Zendy

Lorenzo Serrao | Zendy; Simona Onori | Zendy; Giorgio Rizzoni | Zendy

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A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles

Author(s) -

Lorenzo Serrao,

Simona Onori,

Giorgio Rizzoni

Publication year - 2011

Publication title -

journal of dynamic systems measurement and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 89

eISSN - 1528-9028

pISSN - 0022-0434

DOI - 10.1115/1.4003267

Subject(s) - mathematical optimization , energy management , dynamic programming , equivalence (formal languages) , computer science , pontryagin's minimum principle , minification , electric vehicle , energy minimization , energy (signal processing) , mathematics , optimal control , statistics , computational chemistry , chemistry , discrete mathematics , power (physics) , physics , quantum mechanics

This paper presents a formalization of the energy management problem in hybrid electric vehicles and a comparison of three known methods for solving the resulting optimization problem. Dynamic programming (DP), Pontryagin’s minimum principle (PMP), and equivalent consumption minimization strategy (ECMS) are described and analyzed, showing formally their substantial equivalence. Simulation results are also provided to demonstrate the application of the strategies. The theoretical background for each strategy is described in detail using the same formal framework. Of the three strategies, ECMS is the only implementable in real time; the equivalence with PMP and DP justifies its use as an optimal strategy and allows to tune it more effectively. DOI: 10.1115/1.4003267

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