Parametric Optimization of Hybrid Car Engines

Bonnans, J. Frédéric; Guilbaud, Thérèse; Ketfi-Cherif, Ahmed; Wissel, Dirk von; Sagastizábal, Claudia; Zidani, Hasnaa

doi:10.1023/b:opte.0000042032.47856.e5

Cited by 9 publications

(4 citation statements)

References 17 publications

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“…This approach has been preferred to parametric optimization, which is a quite complicated problem. The reader can nevertheless see some examples in Bonnans et al (2002).…”

Section: Variations Of the Size Of Some Powertrain Elementsmentioning

confidence: 99%

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Design optimization and optimal control for hybrid vehicles

2009

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In the context of growing environmental concerns, hybrid-electric vehicles appear to be one of the most promising technologies for reducing fuel consumption and pollutant emissions.This paper presents a parametric study focused on variations of the size of the powertrain components, and optimization of the power split between the engine and electric motor with respect to fuel consumption. To take into account the ability of the engine to be turned off, and the energy consumed to start the engine, we consider a second state to represent the engine: this state permits to obtain a more realistic engine model than it is usually done. Results are obtained for a prescribed vehicle cycle thanks to a dynamic programming algorithm based on a reduced model, and furnish the optimal power repartition at each time step regarding fuel consumption under constraints on the battery state of charge, and may then be used to determine the best components of a given powertrain.To control the energy sources in real driving conditions, when the future is unknown, a real-time control strategy is used: the Equivalent Consumption Minimization Strategy (ECMS). In this strategy, the battery is being considered as an auxiliary reversible fuel reservoir, using a scaling parameter which can be deduced from dynamic programming results. Offline optimization results and ECMS are compared for a realistic hybrid vehicle application.

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“…This approach has been preferred to parametric optimization, which is a quite complicated problem. The reader can nevertheless see some examples in Bonnans et al (2002).…”

Section: Variations Of the Size Of Some Powertrain Elementsmentioning

confidence: 99%

“…In Bonnans et al (2002), the author considers a bilevel optimization problem, with a simultaneous optimization of design parameters and trajectories. Although the implementation of this method is complicated, and the computation time is high, it allows obtaining the exact optimal size of several elements along a driving cycle.…”

Section: Introductionmentioning

confidence: 99%

Design optimization and optimal control for hybrid vehicles

2009

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“…In recent years, researchers around the world have made notable progress in cooperative optimization methods and double-layer control strategies [21][22][23][24][25]. Angelo et al proposed a novel double-layer control architecture designed to drive the longitudinal motion of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Research on Parameter Optimization Design Method for Dual-Motor Coupled Drive System

Li,

Zhang,

Gao

et al. 2023

WEVJ

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To improve energy utilization efficiency and extend the driving range of electric vehicles, this paper proposes a Dual-Motor Coupled Drive System (DMCDS) with a simple structure and establishes a dynamic mathematical model to analyze power flow characteristics under different driving modes. Considering the interdependence between the optimization of component sizes and system control in multi-motor drive systems, a two-layer hybrid optimization method is proposed to determine the optimal component sizes, balancing vehicle performance with minimal system energy losses. To evaluate the effectiveness of the proposed optimization design method, extensive simulation analysis was carried out in MATLAB. The results demonstrate that the optimization of motor sizes and gear ratios can enhance the energy efficiency of the drive system. In comparison with prototype scheme before optimization, the high-efficiency region utilization of motors EM_R and EM_S increased by 45% and 48%, respectively. Compared with the prototype and single-motor drive system, the average drive efficiency after optimization increased by 2.5% and 4.2%, respectively, and the energy consumption per 100 km decreased by 3.6% and 6.8%, respectively. These results confirm the efficacy of the proposed optimization design method in achieving an energy-saving effect.

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“…Ref. [12] built a scalable vehicle model to form an integrated optimization problem, in which the outer loop chose the battery capacity, maximum torque of engine and motor as the variables, while dynamic programming was applied to find the optimal control strategy in the inner loop. Each simulation, nevertheless, adjusted merely one parameter while keeping the remainder fixed.…”

Section: Introductionmentioning

confidence: 99%