In this paper, a plug-to-wheel energy balance is made of battery electrical vehicles. The study is based on real data from a two years continuous monitoring of five Peugeot iOn cars, that was performed in Belgium since June 2011, with the financing and support of Electrabel. Different driving styles, trip profiles, type and intensity of use were observed, leading to different energy patterns. The AC/DC vehicle (slow) charge efficiency and brake energy recovering are considered, as well as battery efficiency and auxiliary consumption.In particular, seasonal impacts on battery efficiency and auxiliary consumption are taken into account. This gives valuable information that cannot be obtained from theoretical, e.g. NEDC measuring conditions.A broad range of values is obtained for the average plug-to-wheel efficiency. The resulting well-to-wheel efficiency is slightly better than the one of classical cars, but can still be significantly improved. The consumption of the auxiliaries is of particular importance in the total balance. Because of a higher impact of the auxiliary consumption, cars with a higher urban use show a globally lower plug-to-wheel efficiency. This is an important result when considering the urban trips as the primary segment for EV, and should encourage the EV manufacturers to focus on the reduction of auxiliary consumption. On a yearly basis, regenerative braking can be sufficient to compensate, and even over-compensate the plug-to-battery losses. The average battery losses are limited, even if they can be significant during the cold days.

In this paper, a plug-to-wheel energy balance is made of battery electrical vehicles. The study is based on real data from a two years continuous monitoring of five Peugeot iOn cars, that was performed in Belgium since June 2011, with the financing and support of Electrabel. Different driving styles, trip profiles, type and intensity of use were observed, leading to different energy patterns. The AC/DC vehicle (slow) charge efficiency and brake energy recovering are considered, as well as battery efficiency and auxiliary consumption.In particular, seasonal impacts on battery efficiency and auxiliary consumption are taken into account. This gives valuable information that cannot be obtained from theoretical, e.g. NEDC measuring conditions. A broad range of values is obtained for the average plug-to-wheel efficiency. The resulting well-to-wheel efficiency is slightly better than the one of classical cars, but can still be significantly improved. The consumption of the auxiliaries is of particular importance in the total balance. Because of a higher impact of the auxiliary consumption, cars with a higher urban use show a globally lower plug-to-wheel efficiency. This is an important result when considering the urban trips as the primary segment for EV, and should encourage the EV manufacturers to focus on the reduction of auxiliary consumption. On a yearly basis, regenerative braking can be sufficient to compensate, and even over-compensate the plug-to-battery losses. The average battery losses are limited, even if they can be significant during the cold days.

In this article, the driving performance of two electric vehicles of the latest generation clean powertrain cars is evaluated. The vehicles under test are an electric Peugeot iOn, and an AGV electric version of the Ford Transit Connect. For different torque-speed operating conditions at wheel level, the vehicles are evaluated for their battery to wheel -electrical to mechanical -power conversion performance, with the help of chassis dynamometer testing. This generates an insight in the mapping of the consumption and efficiency value ranges for electric driving. The vehicles are also tested in real life on-road conditions, by following a pre-set representative track on public roads. Charging efficiency and consumption of auxiliaries is considered too. These tests give insight and realistic values to judge consumption, driving range and efficiency. With these results, further calculations and accurate simulations of realistic scenarios are possible.

Power Line Communication is still one of the most popular ways to solve the last-mile problem in Smart Metering. The main drawbacks of this medium are the harsh circumstances in the grid. The unpredictability of noise and impedance in the grid makes it a difficult task to model the physical channel and therefore choose the right modulation technique for the job. In this paper noise and impedance measurements are executed. This leads to a classification of the different types of loads in function of the basic parameters influencing power line communication.

In this article, the driving performance of two electric vehicles of the latest generation clean powertrain cars is evaluated. The vehicles under test are an electric Peugeot iOn, and an AGV electric version of the Ford Transit Connect. For different torque-speed operating conditions at wheel level, the vehicles are evaluated for their battery to wheel-electrical to mechanical-power conversion performance, with the help of chassis dynamometer testing. This generates an insight in the mapping of the consumption and efficiency value ranges for electric driving. The vehicles are also tested in real life on-road conditions, by following a pre-set representative track on public roads. Charging efficiency and consumption of auxiliaries is considered too. These tests give insight and realistic values to judge consumption, driving range and efficiency. With these results, further calculations and accurate simulations of realistic scenarios are possible.