2004
DOI: 10.1109/tvt.2004.827161
|View full text |Cite
|
Sign up to set email alerts
|

Control of a Parallel Hybrid Powertrain: Optimal Control

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
181
0
1

Year Published

2008
2008
2021
2021

Publication Types

Select...
4
4
2

Relationship

0
10

Authors

Journals

citations
Cited by 382 publications
(183 citation statements)
references
References 3 publications
1
181
0
1
Order By: Relevance
“…To remedy this problem, the stochastic dynamic programming (SDP) method [9][10][11] and the driving pattern detection within multiple driving cycles [12] had been suggested as the possible solutions. As a general case of the Euler-Lagrange equation, Pontryagin's minimum principle (PMP) was also introduced to obtain optimal control solution for hybrid vehicles [13][14][15][16], where the Hamiltonian is considered as an analytical function. Based on the theoretical backgrounds of PMP, the equivalent consumption minimization strategy (ECMS) [17][18][19] was proposed to associate the electrical energy usage with future fuel consumption, and the equivalent fuel consumption is minimized at each time instant.…”
Section: Introductionmentioning
confidence: 99%
“…To remedy this problem, the stochastic dynamic programming (SDP) method [9][10][11] and the driving pattern detection within multiple driving cycles [12] had been suggested as the possible solutions. As a general case of the Euler-Lagrange equation, Pontryagin's minimum principle (PMP) was also introduced to obtain optimal control solution for hybrid vehicles [13][14][15][16], where the Hamiltonian is considered as an analytical function. Based on the theoretical backgrounds of PMP, the equivalent consumption minimization strategy (ECMS) [17][18][19] was proposed to associate the electrical energy usage with future fuel consumption, and the equivalent fuel consumption is minimized at each time instant.…”
Section: Introductionmentioning
confidence: 99%
“…Methods in use include deterministic [1]- [3] and stochastic dynamic programming [4], [5], Pontryagin's minimum principle [6], [7] and game theory [8]. The optimal control generally depends on knowledge about the probability distribution of factors such as power load over a specific driving cycle, and transferring the optimal solution to a feasible real-time strategy has proved an awkward process.…”
Section: Introductionmentioning
confidence: 99%
“…The control of the power flows among these devices is commonly referred to as the energy management or supervisory control [1]. There are many approaches [2] to design an energy management strategy, covering heuristic approaches [3][4][5][6] as well as optimization-based approaches, such as deterministic dynamic programming (DP) [7][8][9][10][11][12][13], Pontryagin's minimum principle (PMP) [14][15][16][17][18][19][20][21] and stochastic dynamic programming (SDP) [22][23][24][25][26]. Recently, convex optimization [27] has attracted attention in the research field of energy management for HEVs.…”
Section: Introductionmentioning
confidence: 99%