On the public citation graph
A Novel Proposal for Assisted Control to Enhance the Regenerative Braking System Performance in Electric Vehicles
0 signed · 42 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/acs.3347openalex-extracted
An adaptive fuzzy sliding‐mode control for regenerative braking system of electric vehicles
inferredcites →https://doi.org/10.1007/978-1-4614-1433-9_4openalex-extracted
Longitudinal Vehicle Dynamics
inferredcites →https://doi.org/10.1007/s10010-019-00383-0openalex-extracted
Battery independent regenerative braking using model predictive control with auxiliary power consumers
inferredcites →https://doi.org/10.1016/0005-1098(94)90230-5openalex-extracted
N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
inferredcites →https://doi.org/10.1016/b978-0-08-099425-3.00006-6openalex-extracted
Modelling and Assembly of the Full Vehicle
inferredcites →https://doi.org/10.1016/j.egypro.2018.09.200openalex-extracted
Control strategy of regenerative braking system in electric vehicles
inferredcites →https://doi.org/10.1016/j.energy.2021.122750openalex-extracted
A novel electro-hydraulic compound braking system coordinated control strategy for a four-wheel-drive pure electric vehicle driven by dual motors
inferredcites →https://doi.org/10.1016/j.energy.2021.122793openalex-extracted
Energy-optimal adaptive cruise control strategy for electric vehicles based on model predictive control
inferredcites →https://doi.org/10.1016/j.energy.2022.123543openalex-extracted
Energy recovery strategy optimization of dual-motor drive electric vehicle based on braking safety and efficient recovery
inferredcites →https://doi.org/10.1016/j.engappai.2020.103712openalex-extracted
Regenerative braking system modeling by fuzzy Q-Learning
inferredcites →https://doi.org/10.1016/j.ifacol.2017.08.823openalex-extracted
Time-Varying Sliding Mode Control for ABS Control of an Electric Car
inferredcites →https://doi.org/10.1016/j.ifacol.2018.11.129openalex-extracted
Intelligent Sliding Mode Scheme for Regenerative Braking Control
inferredcites →https://doi.org/10.1016/j.seta.2021.101797openalex-extracted
Optimal energy allocation strategy for electric vehicles based on the real-time model predictive control technology
inferredcites →https://doi.org/10.1016/j.ymssp.2023.110629openalex-extracted
Experimental modal analysis of a single-link flexible robotic manipulator with curved geometry using applied system identification methods
inferredcites →https://doi.org/10.1049/els2.12020openalex-extracted
Development of an adaptive neuro‐fuzzy inference system–based equivalent consumption minimisation strategy to improve fuel economy in hybrid electric vehicles
inferredcites →https://doi.org/10.1049/iet-cta.2015.0437openalex-extracted
Model predictive control allocation for stability improvement of four‐wheel drive electric vehicles in critical driving condition
inferredcites →https://doi.org/10.1080/00423114.2012.708421openalex-extracted
Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function
inferredcites →https://doi.org/10.1080/00423114.2017.1318212openalex-extracted
Wheel slip control with torque blending using linear and nonlinear model predictive control
inferredcites →https://doi.org/10.1080/00423114.2018.1447676openalex-extracted
Optimal design of adaptive shaking vibration control for electric vehicles
inferredcites →https://doi.org/10.1109/iccar52225.2021.9463463openalex-extracted
A Fuzzy Sliding-Mode Control for Regenerative Braking System of Electric Vehicle
inferredcites →https://doi.org/10.1109/icicct.2018.8473242openalex-extracted
Regenerative Braking of BLDC Motor using Fuzzy Control for Electric Vehicles
inferredcites →https://doi.org/10.1109/icit45562.2020.9067241openalex-extracted
Experimental Performance Evaluation of Electric Vehicles (EV) Based on Analysis of Power and Torque Losses
inferredcites →https://doi.org/10.1109/iemdc.2001.939368openalex-extracted
A neural network based SRM drive control strategy for regenerative braking in EV and HEV
inferredcites →https://doi.org/10.1109/pesgm.2016.7741142openalex-extracted
Analysis of neural network vector control for IPM machine in electric vehicles
inferredcites →https://doi.org/10.1109/sice.2014.6935205openalex-extracted
Fuel consumption optimization for a power-split HEV via gain-scheduled model predictive control
inferredcites →https://doi.org/10.1109/tcst.2019.2916042openalex-extracted
Robust Model Predictive Control of Linear Systems With Predictable Disturbance With Application to Multiobjective Adaptive Cruise Control
inferredcites →https://doi.org/10.1109/tpwrs.2012.2210570openalex-extracted
Mode shape estimation algorithms under ambient conditions: A comparative review
inferredcites →https://doi.org/10.1109/tvt.2017.2720846openalex-extracted
Accurate Brake Torque Estimation With Adaptive Uncertainty Compensation Using a Brake Force Distribution Characteristic
inferredcites →https://doi.org/10.1109/vppc.2008.4677695openalex-extracted
Effective regenerative braking control for smooth stop of a hybrid electric bus
inferredcites →https://doi.org/10.1371/journal.pone.0135459openalex-extracted
The Effect of a Variable Disc Pad Friction Coefficient for the Mechanical Brake System of a Railway Vehicle
inferredcites →https://doi.org/10.1515/afe-2016-0109openalex-extracted
Coefficient of Friction of a Brake Disc-Brake Pad Friction Couple
inferredcites →https://doi.org/10.2139/ssrn.4490265openalex-extracted
A Novel Regenerative Braking Energy Recuperation System For Electric Vehicles Based on Driving Style
inferredcites →https://doi.org/10.23919/chicc.2018.8482789openalex-extracted
Regenerative Braking Control Strategy of Electric Vehicle Based on Composite Power Supply
inferredcites →https://doi.org/10.3390/act7040084openalex-extracted
Active Control of Regenerative Brake for Electric Vehicles
inferredcites →https://doi.org/10.3390/electronics10101199openalex-extracted
A Novel Energy-Efficiency Optimization Approach Based on Driving Patterns Styles and Experimental Tests for Electric Vehicles
inferredcites →https://doi.org/10.3390/en13061526openalex-extracted
An Optimal Slip Ratio-Based Revised Regenerative Braking Control Strategy of Range-Extended Electric Vehicle
inferredcites →https://doi.org/10.3390/en7010099openalex-extracted
Energy-Regenerative Braking Control of Electric Vehicles Using Three-Phase Brushless Direct-Current Motors
inferredcites →https://doi.org/10.3390/ma13040822openalex-extracted
Initial Selection of Disc Brake Pads Material based on the Temperature Mode
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.37-38.1187openalex-extracted
Simulation Research on Neural Network Sliding Mode Control of Energy-Regenerative Braking of Electric Vehicle
inferredcites →https://doi.org/10.4271/2021-01-0119openalex-extracted
Research on Parallel Regenerative Braking Control of the Electric Commercial Vehicle Based on Fuzzy Logic
inferredcites →https://doi.org/10.4271/2021-01-0783openalex-extracted
Energy-Efficient Braking Torque Distribution Strategy of Rear-Axle Drive Commercial EV Based on Fuzzy Neural Network
inferredcites →https://doi.org/10.5755/j01.eie.24.3.20974openalex-extracted
Modelling and Control by Neural Network of Electric Vehicle Traction System
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.