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Jian Yang

Researcher at Qingdao University

Publications -  5
Citations -  82

Jian Yang is an academic researcher from Qingdao University. The author has contributed to research in topics: Electric vehicle & Torque. The author has an hindex of 2, co-authored 5 publications receiving 7 citations.

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Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle

TL;DR: A fuzzy controller with vehicle speed and pressure of the accumulator as variables to optimize the logic threshold control strategy is proposed and the electric torque is substantially reduced while the overall efficiency of the motor operating point is enhanced.
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Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle

TL;DR: A new mechanical–electric–hydraulic dynamic coupling drive system (MEH-DCDS), which integrates the traditional motor and the swashplate hydraulic pump/motor into one, which can realize the mutual conversion between the mechanical energy, electrical energy, and hydraulic energy.
Journal ArticleDOI

A novel mechanical-electric-hydraulic power coupling electric vehicle considering different electrohydraulic distribution ratios

TL;DR: In this article, the authors proposed a novel MEHPC electric vehicle, which integrates the traditional motor with the hydraulic pump/motor to realize the mutual conversion of electrical energy, mechanical energy, and hydraulic energy.
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Research on Matching of Power Transmission System of Electro-Hydraulic Hybrid Electric Vehicle

TL;DR: The simulation results showed that the adaptive combination of hydraulic system and battery system in electro-hydraulic hybrid vehicle could effectively improve the economic performance of the vehicle while ensuring the dynamic performance ofThe vehicle.
Posted ContentDOI

Fuzzy logic-based energy management strategy for a novel mechatronics-electro-hydraulic power coupling electric vehicle

TL;DR: A novel mechatronics-electro-hydraulic power coupling electric vehicle (MEH-PCEV) with low energy consumption with fuzzy logic-based optimization method for real-time adjustment of the electric torque based on the original rule control strategy is proposed.