Design and validation of minimal jerk lane changing manoeuvre for adaptive cruise control in electric vehicles

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Publicado en:SN Applied Sciences vol. 7, no. 11 (Nov 2025), p. 1363
Autor principal: Chacko, Parag Jose
Otros Autores: Krishna, S. Mohan, Haneesh, K. M., Daya, J. L. Febin, Stonier, Albert Alexander
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Springer Nature B.V.
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024 7 |a 10.1007/s42452-025-06709-8  |2 doi 
035 |a 3271186286 
045 2 |b d20251101  |b d20251130 
100 1 |a Chacko, Parag Jose  |u CHRIST (Deemed to be University), Department of Electrical and Electronics Engineering, Bangalore, India (GRID:grid.440672.3) (ISNI:0000 0004 1761 0390) 
245 1 |a Design and validation of minimal jerk lane changing manoeuvre for adaptive cruise control in electric vehicles 
260 |b Springer Nature B.V.  |c Nov 2025 
513 |a Journal Article 
520 3 |a Vehicle stability largely depends on the driving conditions and the driver. In Autonomous vehicles the stability of the vehicle is an important factor and is directly related to safety. When performing the steering manoeuvres during overtaking or during turns, the autonomous features should ensure that the vehicle remains stable. This work focuses on design and development of a steering manoeuvre that ensures smooth operation during overtaking and turns. The model will be implemented along with Adaptive Cruise Control and Anti-Lock Braking mechanism. The validation of the model is performed in IPG CarMaker software. The software is linked with Matlab/Simulink which enables to operate the model at the backend to perform the validation of the safety and stability features.Article Highlights<list list-type="bullet"><list-item></list-item>Proposes a minimal jerk-based lane-changing maneuver for smoother Adaptive Cruise Control in EVs.<list-item>Integrates real-time optimization for dynamic driving conditions using MATLAB/Simulink and IPG CarMaker.</list-item><list-item>Combines minimal jerk control, Adaptive Cruise Control, and ABS to enhance safety and skid prevention.</list-item> 
653 |a Antilock braking systems 
653 |a Electric vehicles 
653 |a Traffic safety 
653 |a Lane changing 
653 |a Matlab 
653 |a Automobile industry 
653 |a Cruise control 
653 |a Sensors 
653 |a Autonomous vehicles 
653 |a Safety 
653 |a Overtaking 
653 |a Maneuvers 
653 |a Adaptive control 
653 |a Energy efficiency 
653 |a Stability 
653 |a Real time 
653 |a Energy consumption 
653 |a Software 
653 |a Driving conditions 
653 |a Steering 
653 |a Economic 
700 1 |a Krishna, S. Mohan  |u Indian Institute of Management, TCI-IIMB Supply Chain Sustainability Lab, Supply Chain Management Centre, Bangalore, India (GRID:grid.440672.3) 
700 1 |a Haneesh, K. M.  |u CHRIST (Deemed to be University), Department of Electrical and Electronics Engineering, Bangalore, India (GRID:grid.440672.3) (ISNI:0000 0004 1761 0390) 
700 1 |a Daya, J. L. Febin  |u Vellore Institute of Technology, Electric Vehicles Incubation, Testing and Research Centre, Chennai, India (GRID:grid.412813.d) (ISNI:0000 0001 0687 4946) 
700 1 |a Stonier, Albert Alexander  |u Vellore Institute of Technology, School of Electrical Engineering, Vellore, India (GRID:grid.412813.d) (ISNI:0000 0001 0687 4946) 
773 0 |t SN Applied Sciences  |g vol. 7, no. 11 (Nov 2025), p. 1363 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3271186286/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3271186286/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3271186286/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch