An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle

Abstract

The energy recovered with regenerative braking system can greatly improve energy efficiency of range-extended electric vehicle (R-EEV). Nevertheless, maximizing braking energy recovery while maintaining braking performance remains a challenging issue, and it is also difficult to reduce the adverse effects of regenerative current on battery capacity loss rate (Qloss,%) to extend its service life. To solve this problem, a revised regenerative braking control strategy (RRBCS) with the rate and shape of regenerative braking current considerations is proposed. Firstly, the initial regenerative braking control strategy (IRBCS) is researched in this paper. Then, the battery capacity loss model is established by using battery capacity test results. Eventually, RRBCS is obtained based on IRBCS to optimize and modify the allocation logic of braking work-point. The simulation results show that compared with IRBCS, the regenerative braking energy is slightly reduced by 16.6% and Qloss,% is reduced by 79.2%. It means that the RRBCS can reduce Qloss,% at the expense of small braking energy recovery loss. As expected, RRBCS has a positive effect on prolonging the battery service life while ensuring braking safety while maximizing recovery energy. This result can be used to develop regenerative braking control system to improve comprehensive performance levels.

A Systematic Review of Technologies, Control Methods, and Optimization for Extended-Range Electric Vehicles

“…In addition, the use of an adequate control strategy helps to reduce the loss rate; for example, the revised regenerative braking control strategy (RRBCS) can reduce inefficiency at the expense of slight braking energy recovery loss. Thus it positively affects prolonging the battery's life while ensuring braking safety and maximal recovery energy [42]. An EV with automatic mechanical transmission (AMT) has higher transmission efficiency because it uses a composite braking process.…”

Comparison of Energy Consumption of Different Electric Vehicle Power Systems Using Fuzzy Logic-Based Regenerative Braking

“…However, a suitable proportion of regenerative braking must be supplied in reality due to driving safety aspects. For this reason, different regenerative braking strategies were created [15,16]. There are two common regenerative braking strategies as serial and parallel strategies [17].…”

A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles

“…ere are three kinds of electric vehicle braking in the ACC system: mechanical braking, regenerative braking, and hybrid braking. e ideal braking process of an electric vehicle is the linear change of braking force and the relation between the expected braking force and the braking strength is as en, when SOC > 0.8, in order to avoid battery overcharge, both front and rear wheels adopt mechanical braking; if SOC ≤ 0.8, the form of braking depends on z [25]. More precisely, given that SOC ≤ 0.8, z < 0.1, regenerative braking works only, desired regenerative braking torque can be computed as…”