Hardware-in-the-loop simulation for the design and verification of the control system of a series–parallel hybrid electric city-bus

2012 ◽  
Vol 25 ◽  
pp. 148-162 ◽  
Author(s):  
Lei Wang ◽  
Yong Zhang ◽  
Chengliang Yin ◽  
Hu Zhang ◽  
Cunlei Wang
Keyword(s):  
Control System ◽  
Hardware In The Loop ◽  
City Bus ◽  
Parallel Hybrid ◽  
Hybrid Electric

scholarly journals A Model-Based Design Approach for a Parallel Hybrid Electric Tractor Energy Management Strategy Using Hardware in the Loop Technique

Vehicles ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 1-19
Author(s):  
Francesco Mocera
Keyword(s):  
Energy Management ◽  
Test Performance ◽  
Management Strategy ◽  
Field Measurements ◽  
Efficient Solutions ◽  
Hardware In The Loop ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Parallel Hybrid ◽  
Hybrid Electric

Recent developments in emissions regulations are pushing Non-Road Mobile Machineries manufacturers towards the adoption of more efficient solutions to reduce the amount of pollutants per unit of work performed. Electrification can be a reasonable alternative to traditional powertrain to achieve this goal. The higher complexity of working machines architectures requires, now more than ever, better design and testing methodologies to better integrate electric systems into mechanical and hydraulic layouts. In this work, the attention focused on the use of a Hardware in the Loop (HIL) approach to test performance of an energy management strategy (called load observer) developed specifically for an orchard tractor starting from field characterization. The HIL bench was designed to replicate a scaled architecture of a parallel hybrid electric tractor at mechanical and electrical level. The vehicle behavior was simulated with a personal computer connected on the CAN BUS network designed for the HIL system. Several tasks were simulated starting from data gathered during field measurements of a daily use of the machine. Results showed good performance in terms of load split between the two power sources and stability of the speed control although the variability of the applied load.

scholarly journals Optimal Energy Management for Series-Parallel Hybrid Electric City Bus Based on Improved Genetic Algorithm

Mechanika ◽  
2020 ◽  
Vol 26 (3) ◽  
pp. 252-259
Author(s):  
Bingzhan ZHANG ◽  
Guodong ZHAO ◽  
Yong HUANG ◽  
Yaoyao NI ◽  
Mingming QIU
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Management Strategy ◽  
Dynamic Performance ◽  
Driving Cycle ◽  
Improved Genetic Algorithm ◽  
Energy Management Strategy ◽  
City Bus ◽  
Parallel Hybrid ◽  
Hybrid Electric

This paper aims at proposing an efficient energy management strategy of the series-parallel hybrid electric bus (SPHEB) by using improved genetic algorithm. Firstly, the energy management strategy based on the logical threshold value is developed. The simulation model considering the vehicle dynamic performance is established by the combination of Matlab and Cruise software. Then, an improved genetic algorithm based on adaptive crossover probability and mutation probability is proposed to solve local convergence and premature convergence. Eventually, Chinese typical city bus driving cycle and the composite driving cycle are considered to show the effectiveness of the proposed energy management strategy in terms of the fuel economy. The results indicate that the fuel consumption are improved by 5.85% and 5.01% respectively, and the parameters obtained by optimizing for the composite driving cycle are more adaptable to the driving conditions and have better economic performance in all driving scenarios.

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