Institution
Center for Automotive Research
About: Center for Automotive Research is a based out in . It is known for research contribution in the topics: Battery (electricity) & Electric vehicle. The organization has 531 authors who have published 869 publications receiving 22612 citations. The organization is also known as: CAR.
Papers published on a yearly basis
Papers
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TL;DR: A new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented, adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions.
729 citations
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TL;DR: This paper presents three different energy management approaches for the control of a parallel hybrid electric sport-utility-vehicle that do not require a priori knowledge of the driving cycle and shows that the A-ECMS strategy is the best performing strategy.
Abstract: Hybrid electric vehicles (HEVs) improvements in fuel economy and emissions strongly depend on the energy management strategy. The parallel HEV control problem involves the determination of the time profiles of the power flows from the engine and the electric motor. This is also referred to as the power split between the conventional and the electric sources. The objective of HEV control is in fact to find out the sequence of optimal power splits at each instant of time that minimizes the fuel consumption over a given driving schedule. Big obstacles to the control design are the model complexity and the necessity of "a priori" knowledge of torque and velocity profiles. This paper presents three different energy management approaches for the control of a parallel hybrid electric sport-utility-vehicle that do not require a priori knowledge of the driving cycle. The considered approaches are: a rule-based control, an adaptive equivalent fuel consumption minimization strategy (A-ECMS), and the Hinfin control. Results, compared with the optimal solution given by the dynamic programming, show that the A-ECMS strategy is the best performing strategy
569 citations
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07 Aug 2002
TL;DR: An algorithm which chooses the power split between the motor and the engine in order to minimize the fuel consumption is presented and results show that a 17.5% of fuel reduction can be achieved for the CEN speed cycle.
Abstract: Hybrid vehicles use at least two energy sources for their propelling. Usually an electric motor is used with an IC engine. Hybrid vehicles are expected to be less polluting and to have a lower fuel consumption than conventional vehicles. This paper presents an algorithm which chooses the power split between the motor and the engine in order to minimize the fuel consumption. First of all, the prototype built at the LAMIH is presented, then the equivalent consumption minimization strategy is described. First results show that a 17.5% of fuel reduction can be achieved for the CEN speed cycle.
540 citations
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TL;DR: In this article, the authors present 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, Pontryagin's minimum principle (PMP), and equivalent consumption minimization strategy (ECMS).
Abstract: 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
480 citations
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10 Jun 2009TL;DR: An analytical derivation of the Equivalent Consumption Minimization Strategy (ECMS) for energy management of hybrid electric vehicles (HEVs) is presented, based on Pontryagin's minimum principle, valid for any powertrain architecture.
Abstract: An analytical derivation of the Equivalent Consumption Minimization Strategy (ECMS) for energy management of hybrid electric vehicles (HEVs) is presented, based on Pontryagin's minimum principle. The derivation is obtained using a generic formulation of the energy management problem in HEVs and is valid for any powertrain architecture. Simulation results obtained for a series HEV are also provided.
405 citations
Authors
Showing all 531 results
Name | H-index | Papers | Citations |
---|---|---|---|
Giorgio Rizzoni | 61 | 444 | 15245 |
Junmin Wang | 54 | 336 | 9699 |
Umit Ozguner | 52 | 506 | 13979 |
Bijaya Ketan Panigrahi | 52 | 413 | 10252 |
Mica Grujicic | 51 | 328 | 10064 |
Dongpu Cao | 46 | 295 | 7404 |
Rajendra Singh | 44 | 297 | 7238 |
Zoran Filipi | 43 | 221 | 6803 |
Ramteen Sioshansi | 43 | 110 | 6164 |
Andrea Serrani | 39 | 177 | 6774 |
Jung-Hyun Kim | 38 | 100 | 5079 |
Morgan Heikal | 37 | 245 | 4337 |
Jin Wang | 36 | 246 | 6708 |
Simona Onori | 36 | 161 | 4625 |
Rita Singh | 35 | 189 | 6649 |