Energy management strategies for a parallel hybrid electric powertrain: fuel economy optimisation with driveability requirements

Cacciatori, Enrico; Vaughan, N. D.; Marco, James

doi:10.1049/cp:20060606

Cited by 5 publications

(1 citation statement)

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“…The rules generate the control action (i.e., the value of power delivered from each energy source) based on the instantaneous values of several significant vehicle parameters (vehicle speed, power demand, battery state of charge, etc.). Many times, rules are derived using engineering judgment and a substantial amount of testing for tuning their parameters [12,42,43,44]; the technique can be made robust and suitable for production vehicles, but the results may not be optimal, since they are not based on formal optimization techniques. In some cases rules can be extracted from the optimal solution found using dynamic programming, thus representing a method to implement (at least approximately) the optimal solution.…”

Section: Heuristic Control Techniquesmentioning

confidence: 99%

A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles

Serrao

Onori

Rizzoni

2011

Journal of Dynamic Systems, Measurement, and Control

422

239

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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.

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Section: Heuristic Control Techniquesmentioning

confidence: 99%