Paper Details

The popularity of Hybrid-electric vehicles in today’s automotive industry is because of its higher fuel-efficiency and reducedemissions of polluting gases. In a HEV, during the acceleration process, the power to run the vehicle is provided by the DCmotor (powered by the battery) and during coasting (constant speed) period, the power is provided by the engine (powered bythe fuel). This ensures optimum use of fuel and also the energy of the fuel is utilized to its best. However, the battery is constantlysubjected to charging (during deceleration) and discharging (acceleration) process which causes depreciation in itsperformance with time. Since the battery forms an integral part in the operation of the vehicle it becomes essential to know theavailable charge left in the battery, how long will it be able to provide required energy and also about the life of the battery.This calls for an efficient model of the battery which can accurately monitor the performance of the battery and other criticalbattery parameters like State of Charge, State of Health, Time to Run, etc.Based on the input (current demand) output (voltage profile) data that can be measured from the experimental results,the apt battery model is selected using model identification. The parameters of the model are computed on-line usingparameter estimation techniques with the help of input output data while the vehicle is in operation. This monitoringalgorithm provides the customer with the flexibility to use a wide range of batteries in their automobile so that themonitoring algorithm adapts itself to the battery based on the input-output data

Pratiksha Supal, Sayali Vavhal, Daminee Waghchaure, “DC Battery Monitoring”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 3, pp. 243-249, March 2016.