An HSC/battery energy storage system‐based regenerative braking system control mechanism for battery electric vehicles

Abstract

This paper proposes a novel hybrid energy storage system (HESS) for the regenerative braking system (RBS) of the front‐wheel induction motor‐driven battery electric vehicle. The HESS is an amalgamation of multiple hybrid supercapacitors (HSCs) and lithium‐ion battery cells. An artificial neural network (ANN)‐based RBS control mechanism was used to optimize the switching scheme of the RBS's three‐phase inverter and the vehicular breaking force distribution. In the regenerative braking mode, the ANN‐based HSC/battery RBS transferred the braking energy to be stored in the HSC and, upon reaching the HSC's maximum safety threshold, then to the battery. In addition, the RBS control mechanism could achieve uniform braking force distribution between the front and rear wheels of the vehicle. Furthermore, our findings revealed that the experimental HSC/battery RBS program enhanced the harvesting of the regenerative braking energy, as was evident from the longer driving distance vis‐à‐vis that of the battery‐only vehicle. The HSC/battery RBS also contributed to improved vehicle acceleration and an extended battery life. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Integrated Vehicle-Following Control for Four-Wheel Independent Drive Based on Regenerative Braking System Control Mechanism for Battery Electric Vehicle Conversion Driven by PMSM 30 kW

“…The voltage generated by the HESP is then supplied to the three-phase inverter, which, in turn, powers a three-phase PMSM. The HESP operates in four distinct scenarios: the normal scenario, the acceleration scenario, and the SC and NMC-lithium battery activated regenerative braking scenario [10]. In the normal scenario, the battery's power output adequately fulfills the vehicle power requirements, resulting in the SC voltage being higher compared to the battery voltage.…”

“…In this scenario, the battery functions as the exclusive voltage source for the three-phase PMSM. Figure 3 shows a diagram of the HESP system during a normal functional scenario [10].…”

A review on braking control and optimization techniques for electric vehicle

“…About 81.18% regeneration efficiency is achieved with the proposed methodology 29 about 22% improvement in regeneration energy is achieved by artificial neural network-based RBS with ''NYCC'' and ''LAFTP-72'' drive cycle. 30 Global strategies. Global strategies in the braking system are based on driving cycles and that aims to reduce energy consumption and improve energy recovery.…”

Global Optimization of the Hydraulic-Electromagnetic Energy-Harvesting Shock Absorber for Road Vehicles With Human-Knowledge-Integrated Particle Swarm Optimization Scheme

“…Apart from powertrain electrification [3], [4], energy recovery technologies, e.g. kinetic energy recovery [5], [6], thermal energy recovery [7], [8], vibration energy recovery [9], [10], have been intensively researched to improve vehicles' energy efficiency.…”