Proceedings ArticleDOI
A regenerative braking control strategy for electric vehicle with four in-wheel motors
Wei Xu,Haiyan Zhao,Bingtao Ren,Hong Chen +3 more
- pp 8671-8676
TLDR
In this paper, the authors proposed a regenerative braking control strategy to meet the above two aspects, namely, to maintain the vehicle safety during braking process and to maximize the energy recovery and minimize the energy consumption as far as possible.Abstract:
Regenerative braking control technology of electric vehicle plays a vital role in automotive energy-saving and environmental protection. Actually, there are two important aspects included in regenerative braking control. First and foremost is to maintain the vehicle safety during the braking process, and secondly is to maximize the energy recovery and minimize the energy consumption as far as possible. This paper proposes a regenerative braking control strategy to meet the above two aspects. In this research, the electric vehicle is assumed to keep straight line driving with a driver. First, according to the desired braking torques of the driver during braking process, the brake torque on front and rear axle respectively are allocated based on the tire load ratio, which makes sure that maximizing the use of tire adhesion during deceleration. Second, in order to deal with multi-objections and constraints for maximizing the energy recovery and minimizing the energy consumption, an model predictive controller is designed to distribute the brake torque between the hydraulic brake mode and the electric motor brake mode. In the end, the effectiveness of the proposed strategy is verified through the simulations of the electric vehicle model with four individually driven in-wheel motors based on Matlab/Simulink and AMESim software.read more
Citations
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Journal ArticleDOI
On the movement simulations of electric vehicles: A behavioral model-based approach
Yueru Xu,Yuan Zheng,Ying Yang +2 more
TL;DR: A micro-traffic flow model for EVs by considering their unique acceleration/deceleration characteristics is proposed to represent and simulate the movements of EVs in traffic flow, especially in congested traffic and shows that the proposed EV behavior model outperforms traditional behavior models for both timid and aggressive drivers.
Journal ArticleDOI
Multi-Objective Optimal Control Allocation for an Over-Actuated Electric Vehicle
TL;DR: A unified control allocation law composed of two-step optimization is developed to trade off energy optimization and driving stability in actual complicated conditions and to improve energy recovery in routine stable driving conditions.
Journal ArticleDOI
Coordinated control strategy of electro-hydraulic braking for energy regeneration
TL;DR: The results of simulation show that the proposed coordinated control strategy of electro-hydraulic braking for distributed electric vehicles has better performance of energy regeneration and braking stability than I curve distribution, but also satisfies the characteristics of the driver’s braking behavior under corresponding situations.
Proceedings ArticleDOI
Comparison of electric vehicles with single drive and four wheel drive system concerning regenerative braking
TL;DR: In this article, the advantages of a four wheel drive in combination with a brake slip control with regard to the recuperated energy and also to vehicle stability are presented on the basis of simulations.
Journal ArticleDOI
Review on Braking Energy Management in Electric Vehicles
TL;DR: This review concerns the systematization of knowledge in one of the areas of the electric vehicle control, namely, the energy management issues when using braking controllers, and the braking process optimization is summarized from two aspects.
References
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Book
Model Predictive Control
TL;DR: In this article, the authors present a model predictive controller for a water heating system, which is based on the T Polynomial Process (TOP) model of the MPC.
Journal ArticleDOI
Regenerative Braking System of Electric Vehicle Driven by Brushless DC Motor
TL;DR: The simulation results show that the fuzzy logic and PID control can realize the regenerative braking and can prolong the driving distance of EVs under the condition of ensuring braking quality.
Journal ArticleDOI
Wheel Slip Control of EVs Based on Sliding Mode Technique With Conditional Integrators
TL;DR: A new control system, based on field programmable gate array technology, targeting the powertrain control of multi-motor electric vehicles (EVs), and demonstrates a good slip regulation and robustness to disturbances.
Journal ArticleDOI
MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution
TL;DR: In this paper, a model predictive controller is designed based on holistic control structure via active front steering and motor torque distribution, which stabilizes a vehicle along the desired states while rejecting skid and fulfilling its physical constraints.
Journal ArticleDOI
Fully Electrified Regenerative Braking Control for Deep Energy Recovery and Maintaining Safety of Electric Vehicles
TL;DR: To maintain the stability and to improve the performance of the regenerative braking in unknown tire-road conditions, a knowledge-based methodology in a hierarchical control structure is proposed, where the maximum adhesion force and the motor reference torque (MRT) are determined online.
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