Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017) 2017
DOI: 10.2991/amee-17.2017.2
|View full text |Cite
|
Sign up to set email alerts
|

Research on the Composite Braking Control of Electric Vehicle

Abstract: Abstract-A new composite braking control strategy is proposed for a rear-wheel-drive electric vehicle (EV) with both a regenerative braking system and a hydraulic braking system to achieve improved braking performance and optimal energy regeneration. Based on the model predictive control (MPC), the proposed braking control strategy maintains the slip ratio within an optimal range by adjusting the braking torque continuously, besides, to recover optimal braking energy, a braking torque allocation strategy of ma… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…Additionally, acquiring the necessary driving information is challenging, which restricts the adaptability of these methods across various braking conditions. The real-time capability-oriented CCSs achieve real-time coordinated control by employing various control strategies, including proportional integral derivative-based CCS (PID-CCS) [14,15], linear quadratic regulator-based CCS (LQR-CCS) [16,17], and model predictive controlbased CCS (MPC-CCS) [18][19][20]. In PID-CCS, the coordinated control of the RBS and ABS is achieved by tuning the parameters of the PID controller based on the vehicle state and control objectives.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, acquiring the necessary driving information is challenging, which restricts the adaptability of these methods across various braking conditions. The real-time capability-oriented CCSs achieve real-time coordinated control by employing various control strategies, including proportional integral derivative-based CCS (PID-CCS) [14,15], linear quadratic regulator-based CCS (LQR-CCS) [16,17], and model predictive controlbased CCS (MPC-CCS) [18][19][20]. In PID-CCS, the coordinated control of the RBS and ABS is achieved by tuning the parameters of the PID controller based on the vehicle state and control objectives.…”
Section: Introductionmentioning
confidence: 99%