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      Design and Modeling of a Test Bench for Dual-Motor Electric Drive Tracked Vehicles Based on a Dynamic Load Emulation Method

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          Abstract

          Dual-motor Electric Drive Tracked Vehicles (DDTVs) have attracted increasing attention due to their high transmission efficiency and economical fuel consumption. A test bench for the development and validation of new DDTV technologies is necessary and urgent. How to load the vehicle on a DDTV test bench exactly the same as on a real road is a crucial issue when designing the bench. This paper proposes a novel dynamic load emulation method to address this problem. The method adopts dual dynamometers to simulate both the road load and the inertia load that are imposed on the dual independent drive systems. The vehicle’s total inertia equivalent to the drive wheels is calculated with separate consideration of vehicle body, tracks and road wheels to obtain a more accurate inertia load. A speed tracking control strategy with feedforward compensation is implemented to control the dual dynamometers, so as to make the real-time dynamic load emulation possible. Additionally, a MATLAB/Simulink model of the test bench is built based on a dynamics analysis of the platform. Experiments are finally carried out on this test bench under different test conditions. The outcomes show that the proposed load emulation method is effective, and has good robustness and adaptability to complex driving conditions. Besides, the accuracy of the established test bench model is also demonstrated by comparing the results obtained from the simulation model and experiments.

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          ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach

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            Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

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              Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                21 June 2018
                July 2018
                : 18
                : 7
                : 1993
                Affiliations
                [1 ]State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China; wzhe@ 123456zju.edu.cn (Z.W.); lhl801@ 123456zju.edu.cn (H.L.); chernzm@ 123456zju.edu.cn (Z.C.)
                [2 ]Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China; yyongpaper@ 123456gmail.com
                Author notes
                [* ]Correspondence: me_zhouxj@ 123456zju.edu.cn ; Tel.: +86-0571-8795-2516
                Author information
                https://orcid.org/0000-0002-6033-469X
                Article
                sensors-18-01993
                10.3390/s18071993
                6068514
                29933632
                d8704cb9-3412-4be2-aa37-45aaf26cd548
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 May 2018
                : 17 June 2018
                Categories
                Article

                Biomedical engineering
                dual-motor electric drive tracked vehicle,dynamic load emulation,speed tracking control method,test bench model

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