Development and calibration of hybrid electric vehicle operating strategies using simulations and a hybrid power train test bench

Author(s):  
Andy Sittig ◽  
Georg Mumelter ◽  
Friedrich Rabenstein
2016 ◽  
Vol 78 (6) ◽  
Author(s):  
Mohd Sabirin Rahmat ◽  
Fauzi Ahmad ◽  
Ahmad Kamal Mat Yamin ◽  
Noreffendy Tamaldin ◽  
Vimal Rau Aparow ◽  
...  

This paper provided a validated modeling and a simulation of a 6 degree freedom vehicle longitudinal model and drive-train component in a series hybrid electric vehicle. The 6-DOF vehicle dynamics model consisted of tire subsystems, permanent magnet synchronous motor which acted as the prime mover coupled with an automatic transmission, hydraulic brake subsystem, battery subsystem, alternator subsystem and internal combustion engine to supply the rotational input to the alternator. A speed and torque tracking control systems of the electric power train were developed to make sure that the power train was able to produce the desired throttle torque in accelerating the vehicle. A human-in-the-loop-simulation was utilized as a mechanism to evaluate the effectiveness of the proposed hybrid electric vehicle. The proposed simulation was used as the preliminary result in identifying the capability of the vehicle in terms of the maximum speed produced by the vehicle and the capability of the alternator to recharge the battery. Several tests had been done during the simulation, namely sudden acceleration, acceleration and braking test and unbounded motion. The results of the simulation showed that the proposed hybrid electric vehicle can produce a speed of up to 70 km/h with a reasonable charging rate to the battery. The findings from this study can be considered in terms of design, optimization and implementation in a real vehicle.


2020 ◽  
Vol 18 (2) ◽  
pp. 128-143
Author(s):  
Arigela Satya Veerendra ◽  
Mohd Rusllim Mohamed ◽  
Pui Ki Leung ◽  
Akeel Abbas Shah

2012 ◽  
Vol 260-261 ◽  
pp. 331-336
Author(s):  
Zhen Tong Liu ◽  
Hong Wen He ◽  
Wei Qing Li

Power train of hybrid electric vehicle (HEV) equipped with automated mechanical transmission (AMT) is made up of engine, electric motor, batteries and propulsion system. Shift schedule can’t be worked out with the same way of conventional AMT vehicle. Based on the optimal torque distribution strategy and analysis of the driving efficiency for parallel hybrid electric vehicle (PHEV), a new economy shift schedule for PHEVs equipped with AMT is proposed to maximize the driving efficiency. The MATLAB/CRUISE co-simulation results show that the proposed shift schedule can more efficiently improve the fuel economy performance.


Author(s):  
Maximilian Dietrich ◽  
Kunxiong Ling ◽  
Roland Schmid ◽  
Zhao Song ◽  
Christian Beidl

AbstractDue to a large number of degrees of freedom and connected powertrain functionalities, the development of operating strategies for plug-in hybrid electric vehicles is an especially complex task. Besides optimizations of drivability, noise, vibrations and harshness as well as energy efficiency, the main challenge lies in ensuring emissions conformity. For this purpose, test vehicles are typically applied to achieve a realistic test and validation environment. However, operating strategy calibration using test vehicles has the drawbacks, that (i) it is very time consuming and cost intensive, (ii) it can only be conducted in late development phases and (iii) cannot be applied to reproducing driving loads for a valid comparison. To overcome these issues, this paper presents a consistent engine-in-the-loop approach combining real engine hardware and multiple software elements to represent PHEV behavior at the engine test bench. Thereby, an environment is created, which allows for realistic, flexible, cost efficient and reproducible testing. The effectiveness of the presented framework is evaluated by comparing relevant on-road measurements with their reproduction at the engine test bench. The results show that the vehicle on-road behavior can be replicated using the described testing environment. Particularly engine start/stop behavior and load levels—the core functionalities for operating strategy calibration—are matched. The proven level of realism in powertrain behavior enables further use cases beyond on-road measurement reproduction, i.e. varying individual component properties and observing real-world consequences at the test bench without the need for vehicle tests.


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