Energy management strategies for vehicular electric power systems
Citations
3,031 citations
Cites background from "Energy management strategies for ve..."
...EES has numerous applications including portable devices, transport vehicles and stationary energy resources [1–9]....
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926 citations
Cites background or methods from "Energy management strategies for ve..."
...(4) A hard constraint, in which ξ(T ) must exactly match the initial value ξ(0), is often explicitly assumed [7]–[10], [13]–[15], [22], [23]....
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...The combination of such an estimation with the application of dynamic programming follows the model-predictive control (MPC) paradigm [13], [26], which requires estimation of the disturbance vector...
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...dratic programming [13], [23] requires a quadratic cost...
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...Alternative controllers evaluate λ0 continuously by adapting λ0 to the current driving conditions [13], [17], [32] or simply to the current value of the SoC [22]....
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...[5] Seoul National University ECMS Pattern Recognition simulation [43] [6] ETH Zurich ECMS T-ECMS experimental [46]–[48] [7] University of Valenciennes JHB – experimental [25], [35] [8] University of Pisa Static Continuous Filtering experimental [36] [9] Ohio State University ECMS A-ECMS experimental [37], [38] [10] Kepler University Linz LP – simulation [39], [40] [12] Tsinghua University DP Feedback Control simulation [49] [13] TU Eindhoven QP, ECMS MPC hardware-in-the-loop [44] [14] Stanford University LP – simulation [15] Hyundai Motor Co....
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902 citations
Cites background from "Energy management strategies for ve..."
...simplifications of the problem [18], [21] ....
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...to be decomposed into several steps [20] and [21] ....
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559 citations
Cites methods from "Energy management strategies for ve..."
..., where they used a QP problem formulation and DP as a benchmark [96]....
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520 citations
Cites background from "Energy management strategies for ve..."
...The paper focuses on a single-mod powersplit PHEV configuration for mid-size sedans, but its approach is extendible to other configurations and sizes as well....
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References
10,834 citations
"Energy management strategies for ve..." refers methods in this paper
...The problem is defined such that it can be easily incorporated into an optimization technique called Dynamic Programming (DP) [24], as will be done in Section IV....
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...To find this optimal control sequence, DP [24] will be applied....
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9,153 citations
7,278 citations
"Energy management strategies for ve..." refers background or methods in this paper
...In this section, simplifications will be introduced to achieve a QP structure [ 25 ], which has the advantage that a global minimum is guaranteed and short computation times can be achieved, provided that the problem is convex....
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...Because computation time is limited in on-line applications, the nonlinear optimization problem will be approximated by a Quadratic Programming (QP) [ 25 ] problem in Section V. For...
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5,468 citations
"Energy management strategies for ve..." refers methods in this paper
...In [12], DP optimization is used within an MPC framework for a HEV....
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...It is also possible to use MPC with zone control instead of the PI controller (48), such that is only adapted if the SOC exceeds some boundary, see [28]....
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...One step further is to incorporate the optimization into a Model Predictive Control (MPC) framework [12], such that the energy management strategy will be able to anticipate on upcoming events....
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...However, if only a limited prediction horizon is available, both the DP and QP problem can be used within a MPC structure using a receding horizon [26]....
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...A possible control technique that is able to use this prediction is Model Predictive Control (MPC) [26], which will be the topic of Section VI....
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1,529 citations
"Energy management strategies for ve..." refers background in this paper
...In this section, simplifications will be introduced to achieve a QP structure [25], which has the advantage that a global minimum is guaranteed and short computation times can be achieved, provided that the problem is convex....
[...]
...Because computation time is limited in on-line applications, the nonlinear optimization problem will be approximated by a Quadratic Programming (QP) [25] problem in Section V....
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