Parameter Matching and Simulation Optimization Analysis of Electric Vehicle Power System

Wu, Xianhuan

doi:10.1088/1742-6596/1486/6/062005

Cited by 3 publications

(3 citation statements)

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“…is flexible when compared with conventional combustion engine powered cars because of the absence of complex engine setup, no clutch, zero requirement of manual gear, no condition of piping, etc. to the brake signal for safety [16]. The function of the facility converter is to regulate the energy matching between the motor and the energy source.…”

Section: The Basic Structure Of a Pure Electric Command Vehiclementioning

confidence: 99%

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

Alam,

Sujan,

Tapu

et al. 2024

JTTs

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Electric vehicles use electric motors, which turn electrical energy into mechanical energy. As electric motors are conventionally used in all the industry, it is an established development site. It's a mature technology with ideal power and torque curves for vehicular operation. Conventional vehicles use oil and gas as fuel or energy storage. Although they also have an excellent economic impact, the continuous use of oil and gas threatened the world's reservation of total oil and gas. Also, they emit carbon dioxide and some toxic ingredients through the vehicle's tailpipe, which causes the greenhouse effect and seriously impacts the environment. So, as an alternative, electric car refers to a green technology of decarbonization with zero emission of greenhouse gases through the tailpipe. So, they can remove the problem of greenhouse gas emissions and solve the world's remaining non-renewable energy storage problem. Pure electric vehicles (PEV) can be applied in all spheres, but their special implementation can only be seen in downhole operations. They are used for low noise and less pollution in the downhole process. In this study, the basic structure of the pure electric command vehicle is studied, the main components of the command vehicle power system, namely the selection of the drive motor and the power battery, are analyzed, and the main parameters of the drive motor and the power battery are designed and calculated. The checking calculation results show that the power and transmission system developed in this paper meets the design requirements, and the design scheme is feasible and reasonable.

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Section: The Basic Structure Of a Pure Electric Command Vehiclementioning

confidence: 99%

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

Alam,

Sujan,

Tapu

et al. 2024

JTTs

View full text Add to dashboard Cite

show abstract

“…There are three types of power systems for new-energy vehicles: single-power source, dual-power source, and multi-power source [5]. For the parameter-matching method of the power system of the power system of new-energy vehicles, Wu et al [6] analysed the parameter-matching problem of the electric vehicle power system and established the framework of overall optimization. Li et al [7] used the cross-particle swarm optimization method to study the integrated optimization of the parameters and control strategies of the two-gear power system of electric vehicles (EV).…”

Section: Introductionmentioning

confidence: 99%

A parameter matching and performance evaluation method for vehicle power system

Guan,

Li,

Deng

et al. 2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

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The system parameter-matching accuracy directly affects the vehicle's comprehensive performance. Achieving the optimal comprehensive performance of the vehicle is a complex problem to be solved in the development of current new energy power systems. This paper proposes a practical parameter-matching method for vehicle power systems based on fuzzy evaluation. The interval ranges of related design variables are calculated. The simulation model of the new energy vehicle is built to obtain dynamic performance and energy economy. The multi-dimensional evaluation indexes and thresholds of dynamic performance and energy economy are determined. The comprehensive performance evaluation method based on compound weight and fuzzy mathematics is adopted to quantitatively evaluate the vehicle's comprehensive performance. Following this, the optimal parameter matching of new-energy vehicle power systems is realized. The transmission ratio matching of the distributed electric drive system is performed following the proposed method, and the practicability and accuracy of the parameter-matching method are verified.

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“…For a given set of design layouts, identifying the appropriate design parameters that maximize the design objectives of a hybrid electric vehicle is necessary to solve the hybrid electric vehicle design problem [5,6]. The study of matching and optimizing the key powertrain parameters can effectively reduce the emissions and energy consumption of the vehicle, hence, in the face of the requirements of energy conservation and environmental protection, hybrid electric vehicles have gradually become a research focus [7,8]. Zhao et al studied the parameter matching and configuration analysis of a fuel cell electric vehicle (EV) driving system.…”

Section: Introductionmentioning

confidence: 99%

Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines

et al. 2022

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Based on the requisition for an ideal precise power source for a hybrid electric emergency rescue vehicle (HE-ERV), we present an optimistic parameter matching and optimization schemes for the selection of a HE-ERV. Then, given a set of optimized power source components, they are classified into different types of HE-ERV. In this study, due to the different design objectives of different types of emergency rescue vehicles and the problems of hybrid electric vehicle parameter matching, a multi-island genetic algorithm (MIGA) and non-linear programming quadratic Lagrangian (NLPQL) is proposed for the matched parameters. The vehicle dynamic model is established based on the AVL Cruise simulation platform. The power source performance parameters are matched by theoretical analysis and coupled to the simulation platform. Finally, the optimized matched parameters are classified based on the support vector machines classification model to determine the category of the HE-ERV. The classification results showed that there is an unprecedented level for categorizing several factors of the power source parameters. This research showed that its more logical and reasonable to match HE-ERVs with medium motor/engine power output and battery capacity, as these can attain dynamic performance, extended driving range, and reduced energy consumption.

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Parameter Matching and Simulation Optimization Analysis of Electric Vehicle Power System

Cited by 3 publications

References 0 publications

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

A parameter matching and performance evaluation method for vehicle power system

Parameter Matching, Optimization, and Classification of Hybrid Electric Emergency Rescue Vehicles Based on Support Vector Machines

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