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Technical Paper

Trip Based Stochastic Prediction of Battery State of Charge for Electric Vehicles

2011-04-12
2011-01-1363
For electric vehicle (EV) operations, a major concern for the customers is whether the available charge in the on-board battery pack could sustain a specific trip or not. Within foreseeable future, the charging infrastructure will still remain relatively short. The time for battery charging is also significant longer compared to that for filling gasoline tank. It is thus of practical benefit for EV operation to predict the battery energy demand for a specific trip a prior. In this paper, we present a trip-specific scheme for estimating the battery SOC change based on the trip information from GIS and ITS traffic data. In particular, this study incorporates the stochastic nature of traffic data. For the EV battery pack, the probabilistic change of battery SOC can thus be estimated throughout the spatial domain by combining the stochastic driving cycle, vehicle propulsion dynamics and battery dynamics.
Technical Paper

Trip Specific Worthiness of Replacement of Individual Cells for Battery Pack in Electric Vehicles

2011-04-12
2011-01-1361
Ever increasing acceptance of electric vehicles relies on better operation and control of large battery packs. The individual cells in the large battery packs cannot have identical characteristics and may degrade differently due to its manufacturing variability and other factors. It is beneficial to evaluate the performance gain by replacing certain battery modules/cells during actual driving. We have a two-fold objective for this research. First, we are developing an on-line battery module degradation diagnostic scheme using the intrinsic signals of a battery pack equalization circuit. Therefore, a battery “health map” can be constructed and updated in real time. Secondly, based on the derived battery health map, the performance of the battery pack will be evaluated for customer specified trip so as to evaluate the “worthiness of replacing” certain modules/cells.
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