Adaptive Power Management Strategy Based on Equivalent Fuel Consumption Minimization Strategy for a Mild Hybrid Electric Vehicle

Guan, Jen-Chiun; Chen, Bo-Chiuan

doi:10.1109/vppc46532.2019.8952289

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…In the past, diverse energy management systems for hybrid vehicles have been developed, encompassing both optimization-based and rule-based control strategies [8][9][10][11][12][13][14][15][16][17][18][19][20]. Optimization-based energy management systems derive power distribution rules among multiple energy sources by solving intricate optimization problems, whereas rule-based systems primarily rely on heuristics.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, global optimization methods are commonly utilized as benchmarks to evaluate other energy management systems. To address these challenges, the finite-horizon model predictive control (MPC) method is employed to balance real-time implementation with controller optimization [16][17][18][19]. However, it necessitates predicting or identifying future driving cycles in advance.…”

Section: Introductionmentioning

confidence: 99%

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Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

Zhang,

Shi,

Mou

et al. 2023

WEVJ

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In order to simultaneously improve the fuel economy and overall performance of plug-in hybrid electric vehicles (PHEVs), this study selected the P1 + P3 configuration as its research object. Through a configuration analysis of hybrid vehicles, it confirmed the feasibility of P1 + P3 configuration-PHEV operating modes. Based on this, a rule-based control strategy was developed, and simulation models for the entire vehicle and control strategy were constructed in both Cruise and MATLAB/Simulink software. The study conducted simulation analysis by combining three sets of Worldwide Harmonized Light vehicles Test Cycle (WLTC) driving cycles to assess the fuel-saving potential of the dual-motor P1 + P3 configuration. The simulation results showed that the vehicle model was reasonably constructed and the proposed control strategy had good control effects on the entire vehicle. Compared to conventional gasoline vehicles, the P1 + P3 configuration PHEV achieved a 67.4% fuel economy improvement, demonstrating a significant enhancement in fuel efficiency with the introduction of electric motors.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

Zhang,

Shi,

Mou

et al. 2023

WEVJ

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“…The common real-time optimization control strategies include equivalent fuel consumption minimization strategy and model predictive control (MPC) algorithm. 16,17 For a multi-energy hybrid ship composed of fuel cells and batteries, Kalikatzarakis et al 18 established a minimum instantaneous equivalent fuel consumption model of the hybrid power system. They took a ship's operating parameters as an example, and calculated the fuel economy of the hybrid-electric system using this strategy by simulation.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid energy management strategy of a diesel-electric hybrid ship based on dynamic programing and model predictive control

Yuan

Chen

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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The energy-saving characteristics of diesel-electric series hybrid ships largely depend on their energy management strategy. In this paper, a strategy that combines dynamic programing and model predictive control (DP-MPC) is proposed to solve the energy management problems of diesel-electric hybrid ships. The DP-MPC strategy has considered some typical working conditions of a ship, and the corresponding influence of white noise disturbance on the control strategy was studied. The simulation results show that the DP-MPC strategy has an excellent anti-interference capability. The control performance of the DP-MPC strategy is then further analyzed and compared with the rule-based logic threshold control strategy. The simulation results show that the proposed DP-MPC strategy can save 2.5% of the fuel consumption and has a better anti-interference capability than the rule-based control strategy.

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“…Paper [21] presents a strategy for adaptive power control of MHEV with a belt starter-generator. The purpose of this development is to minimize fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

Concept of A Low-Cost Hybrid Car

Dvadnenko¹,

Arhun²,

Myhal³

et al. 2022

IJIE

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Fuel economy and emissions reduction are the vital tasks, which are currently being solved by dismissing cars with only internal combustion engines to the benefit of electric and hybrid electric vehicles (HEV). HEVs have a significant advantage over electric vehicles, namely a bigger drive range and independence from the charging stations at hand. However, high cost and big weight of HEVs discourage their wider use. To minimize the cost and weight of HEV, the algorithm of its power plant operation is changed. This paper presents a method for calculating the electric drive mode of a hybrid vehicle in accordance with the proposed algorithm for the power plant operation. The results of calculation of the main characteristics are presented and analyzed. The experimental studies were carried out with the hybrid vehicle developed on the base on the Lanos pickup vehicle. The research results showed good agreement between the experimental and the calculated results. The proposed technical solution is presented as practical and effective. The results of this work can be used in the automotive industry. The development helps to reduce the cost and weight of hybrid vehicles, maintaining their operational characteristics and good economic and environmental indicators.

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Adaptive Power Management Strategy Based on Equivalent Fuel Consumption Minimization Strategy for a Mild Hybrid Electric Vehicle

Cited by 8 publications

References 7 publications

Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

Energy Management Strategy for P1 + P3 Plug-In Hybrid Electric Vehicles

A novel hybrid energy management strategy of a diesel-electric hybrid ship based on dynamic programing and model predictive control

Concept of A Low-Cost Hybrid Car

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