Energy Management Strategy for Hybrid Electric Vehicle with Battery Thermal Health Constrained

Authors

  • Mahesh Ahuja

Keywords:

Hybrid electric vehicles, Energy management strategy, Battery thermal health, Real time optimization, Power management, Optimization strategies, Regenerative braking, Fuzzy logic control, Particle swarm optimization, Adaptive dynamic programming.

Abstract

The abstract of the paper is the Energy Management Strategy for Hybrid Electric Vehicle with Battery Thermal Health Constrained which is the research based on the study that proposes the novel energy and the strategy of management for a hybird electric vechile also called as HEV and that thermal health of the battery the proposed stargey which aims us to extend the battery lifespan while maximing the vechile fuel effiency . Our paper provides a brief background on the importance of the battery thermal management and in HEV and followed by an overview of the enegry management and the strategy is based on a model which predctive control algorithm and that takes into battery thermal state and the vechile driving conditions and to the power for the optimize and the internal combustion engine. The effectiveness of the proposed strategy condctued simulations using a high fidelity HEV model and which is compared with the result and those obtained thermal health and extends its lifespan and while acheving fueel effiency performance to traditional strategies and the paper presents a promising approach for managing the energy flow in HEV that takes into the account the thermal health of the battery abd which is having a critical factor and durability of HEV systems . The proposed energy management strategy is dengined to handle the different situations including the steady state and the conditions and can be easily adpated using different battery chemestries and thermal management systems . The model has the predicitive control algorithm is based on physics battery that has a accurate caputures of the battery thermal behaviour and aging effects . The simulation and there results demonstrate that the proposed strategy balances the trade and it maxmize the fuel effiency and maintaining the battery thermal health . The strategy is able to reduce the battery temperature at differnt variatons and frequency of exterme temperature excrsions, which are know to accelerate the battery age . The paper contributes to growing body of literature on the enerhy management for HEV and the thermal health for the desgin and the HEV system opertaions . The proposed strategy has the capability to enchance the performance and the stability of HEVs and could be refined and field tests Furthermore, the proposed energy management strategy the facilitate the integration of renewable energy sources, such as solar or wind power into HEV . By the optimizing the power split between the battery and the internal combustion engine the strategy can help us to reduce the dependence on fossil fuels and increase the use of renewable energy in transportation.In our research we have  some of the challenges and limitations of the proposed strategy, such as the computational complexity the need for the accurate battery models and sensor data. further research is needed to address these challenges and to validate the strategy under real-world driving conditions.In summary, the paper "Energy Management Strategy for Hybrid Electric Vehicle with Battery Thermal Health Constrained" presents a novel approach for managing the energy flow in HEVs that takes into account the battery's thermal health. The proposed strategy is based on a model predictive control algorithm and aims to extend the battery's lifespan while maximizing the vehicle's fuel efficiency. The simulation results demonstrate that the strategy effectively balances the trade-off between these objectives and has the potential to enhance the performance and reliability of HEVs.

Published

2023-04-07

How to Cite

Mahesh Ahuja. (2023). Energy Management Strategy for Hybrid Electric Vehicle with Battery Thermal Health Constrained. SJIS-P, 35(1), 789–794. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/399

Issue

Section

Articles