Design of the Electric Vehicle (EV) battery pack involves different requirements related to driving range, acceleration, fast-charging, lifetime, weight, volume, etc. Therefore, sizing EV necessitates a multi-objective optimization study achieve right trade-off considering aforementioned factors. This “trade-off” can vary depending on type and size EV, as well use cases. In this regard, nice so...

A good driving cycle is needed for accurate evaluation of a vehicle’s performance in terms of emission and fuel consumption. Driving cycles obtained for certain cities or countries are not usually applicable to other cities or countries. Therefore, considerable research has been conducted on developing driving cycles for certain cities and regions. In this paper, a driving cycle for a taxi in A...

The improvement of both the stability and economy four in-wheel motor drive (4IWMD) electric vehicle under complex cycles is currently a difficult problem in this field. A torque distribution method with comprehensive goals optimal energy efficiency, considering through efficiency for 4IWMD vehicle, proposed paper. Each component modelled. dynamic programming (DP) control algorithm utilized bet...

A regenerative braking system and hydraulic braking system are used in conjunction in the majority of electric vehicles worldwide. We propose a new regenerative braking distribution strategy that is based on multi-input fuzzy control logic while considering the influences of the battery’s state of charge, the brake strength and the motor speed. To verify the braking performance and recovery eco...

The corporate average fuel consumption (CAFC) and new energy vehicle (NEV) credit policy (2021–2023) was officially released in June 2020. As a mandatory regulation for automobile manufacturers to produce vehicles, its impact on the output of vehicles needs be systematically evaluated. In this study, we build an enterprise compliance model simulate dual-credit requirements production from 2021 ...

This study investigated a micro turbine generator (MTG) as range extender for series hybrid electric vehicle application of constant and dynamic power demand strategies. The demands were calculated through mathematical model based on specific platform using the New European Drive Cycle (NEDC). then used to characterize MTG in controlled test environment. Each strategies produced interesting res...

The main objective of this research paper was to develop two intelligent state estimators using shallow neural network (SNN) and NARX architectures from a large class deep learning models. This developed new modelling design approach, namely, an improved hybrid adaptive fuzzy inference system (ANFIS) battery model, which is simple, accurate, practical, well suited for real-time implementations ...