# Submissions for: Energy Management for a 2-Motor BEV using Model-Predictive Control
|#| Submission | Links |
|-|-|-------------------------------------------|
|1|[Energy Management for Dual-Motor BEVs with MPC and Rule-Based Logic](https://github.com/martinsadab/A-Predictive-Torque-Demand-Approach-for-Energy-Management-in-Dual-Motor-BEVs)
This project designs and evaluates a nonlinear Model Predictive Control strategy, augmented with rule-based logic, for optimal torque distribution and enhanced energy efficiency in a 2-motor Battery Electric Vehicle.
**Authors:** Martins Adaboh
**Affiliation:** Imperial College London
**Submission Date:** 2024-09-19|![]()
[](https://github.com/martinsadab/A-Predictive-Torque-Demand-Approach-for-Energy-Management-in-Dual-Motor-BEVs)
[](https://matlab.mathworks.com/open/github/v1?repo=martinsadab/A-Predictive-Torque-Demand-Approach-for-Energy-Management-in-Dual-Motor-BEVs)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Sustainability%20and%20Renewable%20Energy.md)|
|2|[Energy Management for a 2-Motor BEV using Model-Predictive Control](https://github.com/hgangwar/EV_MPC_main/tree/main)
Developed a Nonlinear Model Predictive Control (NMPC) algorithm for 2-motor BEVs to optimally distribute torque, achieving 1.07% SOC consumption reduction compared to baseline Hamiltonian optimization.
**Authors:** Harsh Gangwar, Rohan Khaire
**Affiliation:** Arizona State University
**Submission Date:** 2024-04-28|![]()
[](https://github.com/hgangwar/EV_MPC_main/tree/main)
[](https://matlab.mathworks.com/open/github/v1?repo=hgangwar/EV_MPC_main)
[](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Sustainability%20and%20Renewable%20Energy.md)|