Optimizing Battery Energy Efficiency and Power Consumption for Extended Range in Electric Vehicles
Electric-powered motors (EVs) are gaining a reputation as an alternative to conventional fuel-powered motors because of their environmental advantages and rising fuel charges. However, their restrained battery range and excessive energy intake are giant limitations to their substantial adoption. To deal with those problems, this venture aims to optimize the battery power performance and energy consumption of EVs for a prolonged variety. First of all, the battery utilization may be optimized through superior electricity control algorithms. This will involve predicting and managing the energy needs of the car via sensible, manipulated structures. By optimizing battery utilization, the overall strength performance of the vehicle will be expanded, making an allowance for an extended range. Secondly, the power intake of the EV can be optimized by using lightweight materials, green motor and drivetrain designs, and advanced regenerative braking systems. This technology will lessen the strength required to strengthen the automobile, further increasing its variety. Moreover, the project will develop clever charging strategies for EV proprietors to price their motors at some stage in off-height hours while energy is cheaper and the grid is less congested. This may reduce energy consumption and improve battery life.
Authors
- Ankita Agarwal (ORCID: https://orcid.org/0000-0003-0570-7374)
- Prithviraj Mohanty (ORCID: https://orcid.org/0009-0005-8694-5113)
- Tarang Bhatnagar
- Gopala Krishnan
- Gourav Sood (ORCID: https://orcid.org/0009-0009-7365-6645)
- Kehkeshan S Jalall
Institutions
- Jain University (IN)
- Presidency University (IN)
- Siksha O Anusandhan University (IN)
- Maharishi University of Management and Technology (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957603
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00