A multi-objective optimization energy management strategy for power split HEV based on velocity prediction

Wang, Weida; Guo, Xinghua; Yang, Chao; Zhang, Yuanbo; Zhao, Yongsheng; Huang, Denggao; Chen, Xiang

doi:10.1016/j.energy.2021.121714

Cited by 33 publications

(9 citation statements)

References 26 publications

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“…In addition, attention is paid to the prospects for developing alternative energy using vertical-axis wind turbines and solar photovoltaic panels. Wang et al (2022) substantiated the efficiency of using hybrid vehicles in terms of fluctuating speed regimes. The necessity was justified not only to obtain a useful effect in the form of recharging the battery while driving but also to protect the battery, which is the most important issue for the safety of the driver, passengers, as well as the environment.…”

Section: Literature Reviewmentioning

confidence: 84%

Economic Features of the Use of Electric Vehicles in Delivery Services in Estonia

Prokopenko

Järvis

Prause

et al. 2022

IJEEP

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The article is devoted to substantiating the prospects and advantages of developing a small business specializing in the delivery of lightweight cargo in Tallinn during the Covid-19 pandemic. It was justified why such a business should not only be cost effective but also comply with the general principles of sustainable development and be socially responsible. Particular attention in the article is paid to identifying possible alternative strategies for forming the vehicle park of such a company. Analytically (based on the latest data from the auto producer; car, energy and fuel markets, as well as a company specializing in the construction of turnkey solar power plants), it has been proven that a mixed park, which is consists of gasoline cars and plug-in hybrids is the most a flexible solution requiring an investment exclusively in moving property. At the same time, it was shown that if a company has territorial capabilities to accommodate a sufficient number of solar panels and is ready to organize a business with a smaller park of cars, then the choice of electric ones becomes obvious.

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Section: Literature Reviewmentioning

confidence: 84%

Economic Features of the Use of Electric Vehicles in Delivery Services in Estonia

Prokopenko

Järvis

Prause

et al. 2022

IJEEP

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“…The battery model is simplified into an internal resistance model. [25] The state of charge (SOC) value of battery can be calculated according to the current of the battery pack, and then the remaining battery charge can be obtained…”

Section: Tirementioning

confidence: 99%

“…The battery model is simplified into an internal resistance model. [ 25 ] The state of charge (SOC) value of battery can be calculated according to the current of the battery pack, and then the remaining battery charge can be obtained

\[SOC = \frac{{{Q_i}}}{{{Q_c}}} - \frac{{{\eta _c}}}{{{Q_c}}}\int_0^t {I\left( t \right) = SO{C_i} - \frac{{{\eta _c}}}{{{Q_c}}}\int_0^t {I\left( t \right)dt} } \]

where

Q_{i}

is the initial electric capacity,

Q_{\text{c}}

is the total electric capacity,

\left(\text{SOC}\right)_{i}

is the initial SOC value, and

\left(\eta\right)_{\text{c}}

is the battery charging efficiency.…”

Section: Model Descriptions Of Hetmentioning

confidence: 99%

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

Zhao,

Li,

Yang

et al. 2024

Energy Tech

Self Cite

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Due to the difference of response time and braking type between the motor and the pneumatic braking system, it is still difficult to coordinate the motor braking and the pneumatic braking to ensure the vehicle stability and maximal energy regeneration. To address this challenge, a bilevel electromechanical compound braking coordinated control strategy for electric vehicles is proposed considering general and emergency braking state. First, in general braking state, considering the delay characteristics of the pneumatic braking system, a Lagrange quadratic interpolation prediction algorithm is designed to start the pneumatic braking system in advance. Second, in emergency braking state, a model predictive control method is proposed to optimize the braking torque distribution while controlling the wheel slip ratio in a stable range. In order to obtain the optimal control effect, a modified adaptive cuckoo search algorithm is put forward, in which three adaptive impact factors are added. Finally, the proposed control strategy is verified under three road conditions and compared with the conventional control strategy. The results demonstrate significant improvements under gravel road condition, including a 7% increase in energy recovery efficiency, a 92.1% enhancement in the following effect of pneumatic braking torque, and a 43.5% reduction in wheel fluctuation.

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“…Furthermore, reference [16] points out that multi-objective optimization methods exhibit flexibility and adaptability, allowing for balancing and flexibility adjustments when considering different objectives. This implies that objective weights can be adjusted according to specific needs and conditions to meet different optimization requirements.…”

Section: Introductionmentioning

confidence: 99%

Consideration of Multi-Objective Stochastic Optimization in Inter-Annual Optimization Scheduling of Cascade Hydropower Stations

Jia,

Zhang,

Zhou

et al. 2024

Energies

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There exists a temporal and spatial coupling effect among the hydropower units in cascade hydropower stations which constitutes a complex planning problem. Researching the multi-objective optimization scheduling of cascade hydropower stations under various spatiotemporal inflow impacts is of significant importance. Previous studies have typically only focused on the economic dispatch issues of cascade hydropower stations, with little attention given to their coupling mechanism models and the uncertainty impacts of inflows. Firstly, this paper establishes a coupled optimization scheduling model for cascade hydropower stations and elaborates on the operational mechanism of cascade hydropower stations. Secondly, according to the needs of actual scenarios, two types of optimization objectives are set, considering both the supply adequacy and peak-shaving capacity as indicators, with the total residual load and the peak-valley difference of the residual load as comprehensive optimization objectives. Subsequently, considering the uncertainty impact of the inflow side, a stochastic optimization model for inflow is established based on a normal distribution probability. Finally, case study analyses demonstrate that the proposed model not only effectively achieves supply stability but also reduces the peak-valley difference in load, and can achieve optimized scheduling under the uncertain environment of inflow.

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A multi-objective optimization energy management strategy for power split HEV based on velocity prediction

Cited by 33 publications

References 26 publications

Economic Features of the Use of Electric Vehicles in Delivery Services in Estonia

Economic Features of the Use of Electric Vehicles in Delivery Services in Estonia

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

Consideration of Multi-Objective Stochastic Optimization in Inter-Annual Optimization Scheduling of Cascade Hydropower Stations

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