scispace - formally typeset
L

Lin Tianliang

Researcher at Huaqiao University

Publications -  54
Citations -  462

Lin Tianliang is an academic researcher from Huaqiao University. The author has contributed to research in topics: Excavator & Hydraulic accumulator. The author has an hindex of 8, co-authored 54 publications receiving 304 citations.

Papers
More filters
Journal ArticleDOI

New compound energy regeneration system and control strategy for hybrid hydraulic excavators

TL;DR: In this paper, a compound energy regeneration system (ERS) that combines the advantages of an electric accumulator and a hydraulic accumulator was proposed to improve the fuel efficiency of hybrid hydraulic excavators.
Journal ArticleDOI

Review of boom potential energy regeneration technology for hydraulic construction machinery

TL;DR: In this paper, the authors analyzed the proportion of regeneration energy for each actuator and studied the special working style of the boom energy regeneration system (ERS) in a 20-t HE.
Journal ArticleDOI

Development and key technologies of pure electric construction machinery

TL;DR: Key technologies, like variable speed control of the electric motor (EM), hydroelectric EM driving, new hydroelectric actuator, power supply, and energy recovery, are analyzed in depth and the difficulties of CMs to realize the electrification are compared.
Journal ArticleDOI

Novel potential energy regeneration systems for hybrid hydraulic excavators

TL;DR: This paper proposes a novel potential energy regeneration system (PERS) using a hydraulic accumulator and a valve–motor–generator for a hybrid hydraulic excavator (HHE) and demonstrates that the dynamic performance of the PERS is close to that of a throttle-governing system.
Journal ArticleDOI

A double variable control load sensing system for electric hydraulic excavator

TL;DR: A load sensing system based on displacement adaptive and variable speed control is proposed for electric excavator to extend the flow matching range of power train system and satisfy the flow demand under different load conditions and the results show that the system and control strategy can improve the control performance effectively.