scholarly journals Dynamic Modeling and Control Strategy Optimization for a Hybrid Electric Tracked Vehicle

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Hong Wang ◽  
Qiang Song ◽  
Shengbo Wang ◽  
Pu Zeng
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Working Condition ◽  
System Model ◽  
Power Train ◽  
Modeling And Control ◽  
Software Simulation ◽  
Hybrid Electric ◽  
And Control ◽  
Train System

A new hybrid electric tracked bulldozer composed of an engine generator, two driving motors, and an ultracapacitor is put forward, which can provide high efficiencies and less fuel consumption comparing with traditional ones. This paper first presents the terramechanics of this hybrid electric tracked bulldozer. The driving dynamics for this tracked bulldozer is then analyzed. After that, based on analyzing the working characteristics of the engine, generator, and driving motors, the power train system model and control strategy optimization is established by using MATLAB/Simulink and OPTIMUS software. Simulation is performed under a representative working condition, and the results demonstrate that fuel economy of the HETV can be significantly improved.

Modeling and Control Strategy of Series Hybrid Electric Vehicles

2014 ◽  
Vol 543-547 ◽  
pp. 1246-1249
Author(s):  
Liang Zhang ◽  
Bin Jiao ◽  
Lei Li
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Power Distribution ◽  
Hybrid Electric Vehicles ◽  
System Structure ◽  
Modeling And Control ◽  
Powertrain Control ◽  
Hybrid Electric ◽  
And Control ◽  
Made In

The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.

scholarly journals Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle

2021 ◽  
Vol 49 (3) ◽  
pp. 711-718
Author(s):  
Stefan Milićević ◽  
Ivan Blagojević ◽  
Slavko Muždeka
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Power Distribution ◽  
Tracked Vehicle ◽  
Control Optimization ◽  
Reference Vehicle ◽  
Battery State Of Charge ◽  
Technological Developments ◽  
Hybrid Electric ◽  
And Control

All recent technological developments in the field of power distribution in hybrid electric tracked vehicles are often hard to apply and carry high computational burden which makes them impractical for real-time applications. In this paper, a novel control strategy is proposed for parallel hybrid electric tracked vehicle based on robust and easy to implement thermostat strategy with added merits of power follower control strategy (PFCS). The goal of the control strategy is enhanced fuel economy. Serbian infantry fighting vehicle BVP M80-A is chosen as the reference vehicle. For the purpose of validation, a backward-looking, high fidelity model is created in Simulink environment. Investigation of the results indicates that the proposed control strategy offers 12.8% better fuel economy while effectively maintaining battery state of charge (SOC). Even better results (23.2%) were achieved applying the proposed strategy to a model with an additional generator. It is concluded that further improvements can be made with combined sizing and control optimization.

scholarly journals Optimization of Power Train and Control Strategy of a Hybrid Electric Vehicle for Maximum Energy Economy

2013 ◽  
Vol 14 (1) ◽  
pp. 65-80 ◽  
Author(s):  
C. Osornio-Correa ◽  
R.C. Villarreal-Calva ◽  
J. Estavillo-Galsworthy ◽  
A. Molina-Cristóbal ◽  
S.D. Santillán-Gutiérrez
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Maximum Energy ◽  
Power Train ◽  
Energy Economy ◽  
Hybrid Electric ◽  
And Control

scholarly journals A Switching System oriented Modeling and Control Strategy for Idle Speed Control of a Hybrid Powertrain

2020 ◽  
Vol 53 (2) ◽  
pp. 14028-14033
Author(s):  
Micha S. Obergfell ◽  
Steven X. Ding ◽  
Frank Wobbe ◽  
Christoph-Marian Goletz ◽  
Michael Folkers ◽  
...  
Keyword(s):  
Control Strategy ◽  
Speed Control ◽  
Switching System ◽  
Hybrid Powertrain ◽  
Modeling And Control ◽  
Idle Speed ◽  
Idle Speed Control ◽  
And Control
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