Barcelona demo EBSF_2

Energy Strategy and Auxiliaries
Within the Barcelona demo an Intelligent Energy management system will be tested. This innovative system will demonstrate the reduction of auxiliary energy consumption by 20%. Thanks to its ability to anticipate energy demands of auxiliaries, energy consumption will be optimized. Since driving cycles of urban buses on specific routes are always similar, they are likely to incorporate an intelligent and adaptive system, capable of learning and predicting energy demands to optimize the management of energy flows between the auxiliary systems and the energy storage unit. Frequent loading and discharging of electrical energy to and from the storage system increases the consumption and the energy demand for cooling.

In addition, a HVAC system designed specifically for full electric buses will be tested. This system will increase the efficiency of climate system and thermal management for electrified vehicles by 15-20%. Innovative solutions will be tested to minimize energy consumption for thermal management in warm conditions. Savings will be achieved by introducing several technological innovations related to operation mode and specific management of HVAC components.
Driver Assistance
An eco-drive assistant to reduce vehicle energy spending by 8% will be deployed within Barcelona demo buses. The system will produce recommendations for the driver based on the driving style making use of an advanced algorithm. This algorithm will almost constantly produce an assessment of the driving style of the last section of the route and will always inform the driver about his performance (via a 6-led bar). Aspects such as comfort and safety will be also taken into account by the driver assistant.
IT Standard Introduction in Existing Fleets
On-board equipment deployed within the Barcelona demonstration will be compliant with ITxPT and EN13149 parts 7/8/9.
Propulsion technology: electric
Number of buses: 2 operational buses
Test site: urban
The Barcelona Demonstration is led by IRIZAR with a support of DIGIMOBEE, Fraunhofer, UITP and TMB.