The Control and Simulation of Plug-In Parallel Hybrid Electrical City Bus

2013 ◽  
Vol 278-280 ◽  
pp. 1631-1634
Author(s):  
Yun Yun Yang ◽  
Sen Wu ◽  
Zheng Ce Cao
Keyword(s):  
Fuel Economy ◽  
Simulation Analysis ◽  
Control Unit ◽  
Simulation Software ◽  
State Of Charge ◽  
City Bus ◽  
Parallel Hybrid ◽  
Electrical Vehicle ◽  
Battery State Of Charge ◽  
Two Parameter

Take the Plug-in Parallel Hybrid Electrical Vehicle as research object, matching with the parameter of its power system. Then designs a two—parameter fuzzy control unit for torque split between engine and electric motor. The input parameters are the torque needs of the drive system and the battery State Of Charge. Doing the simulation analysis in the simulation software ADVISOR, the results show that the control strategy has improved the dynamic property and fuel economy of the vehicle effectively.

Safety Ensurence Research on the Regenerative Braking System of Electric Vehicle

2019 ◽  
Vol 33 (04) ◽  
pp. 1959014
Author(s):  
Zijian Zhang ◽  
Yangyang Dong
Keyword(s):  
Simulation Software ◽  
State Of Charge ◽  
Regenerative Braking ◽  
Vehicle Speed ◽  
Slip Coefficient ◽  
Braking System ◽  
Battery Safety ◽  
Electrical Vehicles ◽  
Battery State Of Charge ◽  
Vehicle Simulator

The safety problem is the primary factor that should be viewed in the regenerative braking system design of vehicles. To ensure braking safety and battery safety of the electrical vehicles (EVs) a regenerative braking system contain us two fuzzy logic controllers is designed in the paper. In the system, one controller includes slip coefficient, vehicle speed and the driver’s brake requirement to ensure braking security and the other takes battery State of Charge (SOC) and temperature as inputs to assure battery safety. Then, two proportional coefficients [Formula: see text] and [Formula: see text] satisfying the safety needs are introduced into the braking system. At last, the simulation model is established in the simulation software-ADVISOR (ADvanced VehIcle SimulatOR). Through simulation, the results verify that more energy can be regenerated from braking under the conditions of ensuring braking and batteries safety.

scholarly journals Synthesis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicles in the Presence of Low-Emission Zones and Varying Road Grades

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4296 ◽  
Author(s):  
Soldo ◽  
Škugor ◽  
Deur
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
State Of Charge ◽  
Reference Trajectory ◽  
City Bus ◽  
Low Emission ◽  
Battery State Of Charge ◽  
Road Grade ◽  
Hybrid Electric

The powertrain efficiency for plug-in hybrid electric vehicles (PHEV) can be maximized by gradually discharging the battery in a blended regime, where the engine is regularly used all over the driving cycle. A key step in designing an optimal PHEV control strategy for the blended regime corresponds to synthesis of battery state-of-charge (SoC) reference trajectory. The paper first demonstrates that the optimal SoC trajectory can significantly differ from a typical linear-like shape in the case of varying road grade and presence of low-emission zones (LEZ). Next, dynamic programming (DP)-based optimizations of PHEV control variables are conducted for the purpose of extracting and analyzing optimal SoC trajectory patterns. It is shown that the optimality is closely related to the minimization of SoC trajectory length with respect to travelled distance. This finding is used for SoC reference trajectory synthesis in the presence of LEZ and varying road grades. Finally, the overall PHEV control strategy is applied to a PHEV-type city bus and verified by means of computer simulations in comparison with the DP optimization benchmark.

MPC-Based Energy Management of a Parallel Hybrid Electric Vehicle Using Terrain Information

2015 ◽  
Author(s):  
Mohamed Wahba ◽  
Sean Brennan
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Simulation Software ◽  
Electrical Machine ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Power Split ◽  
Hybrid Electric

A parallel hybrid electric vehicle (HEV) combines the power produced by electric machines and a combustion engine to enable improved fuel economy. Optimization of the power-split algorithm managing both torque sources can be readily achieved offline, but online implementation results often show great deviation from expected fuel economy due to traffic, hills, and similar effects that are not easily modeled. Of these external influences, the road grade for a travel route is potentially known a priori given a set destination choice from the driver. To examine whether grade information can improve the performance of a hybrid powertrain controller, we first formulate the vehicle model as a low-order dynamic model, recognizing that the primary dynamics of the energy system are slow. A model predictive control (MPC) strategy utilizing the terrain data is then developed to obtain a time-varying power split between the combustion engine and the electrical machine. Simulation results of the HEV model over multiple standard drive cycles, with different terrain profiles and different cost functions, are presented. Testing of the MPC performance compared to Argonne National Lab’s powertrain simulation software Autonomie shows that the MPC strategy utilizing terrain data gives an improvement of up to 2.2% in fuel economy with respect to the same controller without terrain information, on the same route.

scholarly journals Online Synthesis of an Optimal Battery State-of-Charge Reference Trajectory for a Plug-in Hybrid Electric City Bus

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3168
Author(s):  
Jure Soldo ◽  
Branimir Škugor ◽  
Joško Deur
Keyword(s):  
Driving Cycle ◽  
State Of Charge ◽  
Synthesis Methods ◽  
Reference Trajectory ◽  
City Bus ◽  
Wide Range ◽  
Battery State Of Charge ◽  
Road Grade ◽  
The Mean ◽  
Hybrid Electric

The powertrain efficiency of plug-in hybrid electric vehicles (PHEV) can be increased by effectively using the engine along the electric motor to gradually discharge the battery throughout a driving cycle. This sets the requirement of the optimal shaping of the battery state-of-charge (SoC) reference trajectory. The paper deals with the online synthesis of the optimal SoC reference trajectory, which inherently includes adaptive features in relation to the prediction of upcoming driving cycle features such as the trip distance, the road grade profile, the mean vehicle velocity and the mean demanded power. The method performs iteratively, starting from an offline-synthesized SoC reference trajectory obtained based on dynamic programming (DP) control variable optimization results. The overall PHEV control strategy incorporating the proposed online SoC reference trajectory synthesis method is verified against the DP benchmark and different offline synthesis methods. For this purpose, a model of a PHEV-type city bus is used and simulated over a wide range of driving cycles and conditions including varying road grade and low-emission zones (LEZ).

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

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