Regenerative Braking Control Enhancement for the Power Split Hybrid Architecture with the Utilization of Hardware-in-the-loop Simulations

2013 ◽  
Vol 2 (1) ◽  
pp. 127-134 ◽  
Author(s):  
Kerem Bayar ◽  
Ryan McGee ◽  
Hai Yu ◽  
Dale Crombez
2011 ◽  
Vol 219-220 ◽  
pp. 1161-1164
Author(s):  
Jing Ming Zhang ◽  
Wei Nan Du ◽  
Xiu Hu Wang

In order to improve hybrid electric vehicle’s energy efficiency, this paper did a research on the regenerative braking system of HEV. In this paper we proposed a new parallel regenerative braking control strategy for HEV and analyzed its characteristics in details. Based on theoretical analysis, we developed a parallel regenerative braking controller for a certain HEV, and built hardware-in-the-loop simulation system to test the controller’s performance. We chose the UDDS driving condition for simulation, and the result shows that the regenerative braking controller we developed is effective and reliable. The controller fulfills the parallel regenerative braking control strategy and distributes the braking force accurately. The energy recovery efficiency reaches 16.7%, which significantly improves the vehicle’s energy efficiency.


Author(s):  
J Zhang ◽  
D Kong ◽  
L Chen ◽  
X Chen

This paper mainly focuses on the regenerative braking control of an electrified bus equipped with an anti-lock braking system (ABS). The regenerative braking works simultaneously with a pneumatic ABS, thus liberating the remaining energy of the vehicle while its wheels tend to lock under an extreme brake circumstance. Based on one representative pneumatic ABS strategy and optimum control theory, the optimization for regenerative braking control is proposed, in which the frictional and regenerative brake forces are controlled integrally to obtain maximal available adhesion. The simulation results indicate that brake stability and performance on different roads profit from the optimization. Hardware-in-the-loop (HIL) tests are accomplished on the pneumatic braking system of an electrified bus. HIL tests validate the results of simulation and guarantee the advantage and reliability of the optimization. The adaptability of optimization to hardware and software of the brake controller is also ensured. The field in which further research could be carried out is proposed.


2015 ◽  
Vol 4 (1) ◽  
pp. 209-224 ◽  
Author(s):  
Selim Oleksowicz ◽  
Keith Burnham ◽  
Navneesh Phillip ◽  
Phil Barber ◽  
Eddie Curry ◽  
...  

2016 ◽  
Vol 8 (10) ◽  
pp. 168781401667353 ◽  
Author(s):  
Tao Deng ◽  
Chunsong Lin ◽  
Bin Chen ◽  
Chuanfu Ma

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