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Journal ArticleDOI

Fully Electrified Regenerative Braking Control for Deep Energy Recovery and Maintaining Safety of Electric Vehicles

TLDR
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.
Abstract
Recycling braking energy is significant to improve the total energy efficiency of electric vehicles (EVs). Moreover, braking safety must be maintained under complex conditions. As the actuator, the electric traction motor has much better features than the internal combustion engine, e.g., faster torque response and capability for energy feedback. From the perspective of energy efficiency and safety, highlighting regenerative braking is a meaningful but challenging problem. In this paper, a braking system using only electric motors/generators as the actuators is investigated, in which the energy may be potentially fed back to the onboard energy storage system (ESS) as much as possible. The energy that may be recovered to the ESS is analyzed. 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. The proposed methodology avoids the complex determination of the optimum slip ratio, while acquiring nearly the optimum antiskid braking performance. Simulation and experiment were carried out to validate the effectiveness.

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Citations
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Journal ArticleDOI

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

TL;DR: A car following model for electric, connected and automated vehicles based on reinforcement learning with the aim to dampen traffic oscillations caused by human drivers and improve electric energy consumption and improve travel efficiency.
Journal ArticleDOI

Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system

TL;DR: A novel braking torque distribution strategy for electric vehicles with four in-wheel motors equipped with the regenerative braking system that can maximize the regeneration efficiency by determining the hydraulic braking torque and motor braking torque, which subject to the actuator constraints.
Journal ArticleDOI

Maximizing Regenerative Braking Energy Recovery of Electric Vehicles Through Dynamic Low-Speed Cutoff Point Detection

TL;DR: It is shown that in comparison to considering a constant low-speed threshold during braking, the amount of energy recaptured through the regenerative braking process can be improved by taking advantage of the proposed LSCP detection method.
Journal ArticleDOI

Novel PMSM Control for Anti-Lock Braking Considering Transmission Properties of the Electric Vehicle

TL;DR: Simulation and test-bench experiment results show that the mode-switching PMSM control can effectively compensate for transmission effects and significantly improve the EV's anti-lock braking comfort, stability, and maneuverability with fast and accurate motor-torque regulating.
Journal ArticleDOI

Dynamic State Estimation for the Advanced Brake System of Electric Vehicles by Using Deep Recurrent Neural Networks

TL;DR: An integrated time-series model based on multivariate deep recurrent neural networks (RNN) with long short-term memory (LSTM) units is developed for the dynamic estimation of the brake pressure of EVs to better identify the braking intent of a driver and further enhance the multiperformance of the EVs.
References
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Journal ArticleDOI

A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles

TL;DR: In this article, a battery/ultracapacitor hybrid energy storage system (HESS) is proposed for electric drive vehicles including electric, hybrid electric, and plug-in hybrid electric vehicles.
Journal ArticleDOI

Energy Storage Systems for Automotive Applications

TL;DR: This paper reviews state-of-the-art ESSs in automotive applications and hybrid power sources are considered as a method of combining two or more energy storage devices to create a superior power source.
Journal ArticleDOI

Ultracapacitor-Based Auxiliary Energy System for an Electric Vehicle: Implementation and Evaluation

TL;DR: The results showed a significant cost reduction when AES configurations are included in contrast to a system powered by fuel cells only, and the cost reduction was higher when using ultracapacitors for this purpose.
Journal ArticleDOI

Power enhancement of an actively controlled battery/ultracapacitor hybrid

TL;DR: In this paper, an actively controlled battery/ultracapacitor hybrid has been proposed to achieve higher specific power while reducing battery current and its internal loss, which can be scaled to larger or smaller power capacities for a variety of applications.
Journal ArticleDOI

Traction control of electric vehicle: basic experimental results using the test EV "UOT electric march"

TL;DR: In this article, two novel traction control techniques of an electric vehicle using this advantage are proposed, one is the model-following control and the other is the optimal slip ratio control, which is demonstrated by real experiments using the DC-motor-driven test vehicle "UOT (University of Tokyo) Electric March".
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