Calculating carbon footprint while traversing route based on predicted incremental battery degradation
A computer implemented method, system and product to predict an incremental degradation of a battery of a transportation vehicle while traveling on a route using a number of battery degradation parameters and a current condition of the battery as inputs in an artificial intelligence enabled system trained using historical battery degradation parameters. An equivalent carbon footprint is calculated based on the incremental degradation of the battery of the transportation vehicle. An equivalent carbon footprint tax is calculated based on the equivalent carbon footprint. The equivalent carbon footprint tax is assessed against the transportation vehicle.
1 . A computer implemented method comprising:
predicting, by a number of processor units, an incremental degradation of a battery of a transportation vehicle while traveling on a route using a number of battery degradation parameters and a current condition of the battery as inputs in an artificial intelligence enabled system trained using historical battery degradation parameters;
calculating, by the number of processor units, an equivalent carbon footprint based on the incremental degradation of the battery of the transportation vehicle;
calculating, by the number of processor units, an equivalent carbon footprint tax based on the equivalent carbon footprint;
assessing, by the number of processor units, the equivalent carbon footprint tax against the transportation vehicle; and
inhibiting, by the number of processor units, operation of the transportation vehicle, in response to a denial to levy the equivalent carbon footprint tax from the transportation vehicle, comprising controlling the transportation vehicle by switching the transportation vehicle to a limp mode.
2 . The computer implemented method of claim 1 ,
wherein predicting the incremental degradation of the battery of the transportation vehicle comprises estimating the current condition of the battery of the transportation vehicle based on at least one of a number of previous recharging cycles, a number of previous vehicle operation parameters, a number of previous battery environmental parameters, or a number of battery specifications.
3 . The computer implemented method of claim 2 ,
wherein calculating an equivalent carbon footprint tax comprises calculating the equivalent carbon footprint tax while the transportation vehicle is travelling the route based on the current condition of the battery as a baseline, a number of vehicle operation parameters while the transportation vehicle is travelling the route, a number of battery environmental parameters while the transportation vehicle is travelling the route, and the number of battery specifications.
4 . The computer implemented method of claim 1 ,
wherein predicting the incremental degradation of a battery of a transportation vehicle comprises tracking, using at least one blockchain, at least one of a number of previous battery operational parameters or a number of previous environmental parameters and
wherein predicting the incremental degradation of a battery of a transportation vehicle is based on at least one of the number of previous battery operational parameters or the number of previous environmental parameters.
5 . The computer implemented method of claim 1 ,
wherein predicting the incremental degradation of the battery of the transportation vehicle is further based on a source of power and a dynamic usage pattern of the battery of the transportation vehicle.
6 . The computer implemented method of claim 1 ,
wherein predicting the incremental degradation of the battery of the transportation vehicle comprises tracking, using at least one blockchain, at least one type of maintenance performed on the battery of the transportation vehicle and
wherein predicting the incremental degradation of the battery of a transportation vehicle is further based on historical learning about how the at least one type of maintenance performed on the battery of the transportation vehicle changes the current condition of the battery of the transportation vehicle.
7 . The computer implemented method of claim 1 , further comprising
reducing, by the number of processor units, the incremental degradation of the battery comprising at least one of limiting acceleration, limiting speed, disabling auxiliary systems, or changing the route.
8 . A computer system comprising:
a number of processor units, wherein the number of processor units executes program instructions to:
predict, by the number of processor units, an incremental degradation of a battery of a transportation vehicle while traveling on a route using a number of battery degradation parameters and a current condition of the battery as inputs in an artificial intelligence enabled system trained using historical battery degradation parameters;
calculate, by the number of processor units, an equivalent carbon footprint based on the incremental degradation of the battery of the transportation vehicle;
calculate, by the number of processor units, an equivalent carbon footprint tax based on the equivalent carbon footprint;
assess, by the number of processor units, the equivalent carbon footprint tax against the transportation vehicle; and
inhibit operation of the transportation vehicle, in response to a denial to levy the equivalent carbon footprint tax from the transportation vehicle, comprising controlling the transportation vehicle by switching the transportation vehicle to a limp mode.
9 . The computer system of claim 8 , wherein the number of processor units further executes program instructions to: estimate a current condition of the battery of the transportation vehicle based on at least one of a number of previous recharging cycles, a number of previous vehicle operation parameters, a number of previous battery environmental parameters, or a number of battery specifications.
10 . The computer system of claim 9 , wherein the number of processor units further executes program instructions to: calculate the equivalent carbon footprint tax while the transportation vehicle is travelling the route based on the current condition of the battery as a baseline, a number of vehicle operation parameters while the transportation vehicle is travelling the route, a number of battery environmental parameters while the transportation vehicle is travelling the route, and the number of battery specifications.
11 . The computer system of claim 8 , wherein the number of processor units further executes program instructions to: track, using at least one blockchain, at least one of a number of previous battery operational parameters or a number of previous environmental parameters and
wherein predict the incremental degradation of a battery of a transportation vehicle is further based on at least one of the number of previous battery operational parameters or the number of previous environmental parameters.
12 . The computer system of claim 8 , wherein the number of processor units further executes program instructions to: predict the incremental degradation of the battery of the transportation vehicle further based on a source of power and a dynamic usage pattern of the battery of the transportation vehicle.
13 . The computer system of claim 8 , wherein the number of processor units further executes program instructions to:
track, using at least one blockchain, at least one type of maintenance performed on the battery of the transportation vehicle and
wherein predict the incremental degradation of a battery of a transportation vehicle is further based on historical learning about how the at least one type of maintenance performed on the battery of the transportation vehicle changes the current condition of the battery of the transportation vehicle.
14 . The computer system of claim 8 , wherein the number of processor units further executes program instructions to:
reduce incremental degradation of the battery comprising at least one of limiting acceleration, limiting speed, disabling auxiliary systems, or changing the route.
15 . A computer program product comprising
a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer system to cause the computer system to:
predict, by a number of processor units, an incremental degradation of a battery of a transportation vehicle while traveling on a route using a number of battery degradation parameters and a current condition of the battery as inputs in an artificial intelligence enabled system trained using historical battery degradation parameters;
calculate, by the number of processor units, an equivalent carbon footprint based on the incremental degradation of the battery of the transportation vehicle;
calculate, by the number of processor units, an equivalent carbon footprint tax based on the equivalent carbon footprint;
assess, by the number of processor units, the equivalent carbon footprint tax against the transportation vehicle; and
inhibit operation of the transportation vehicle, in response to a denial to levy the equivalent carbon footprint tax from the transportation vehicle, comprising controlling the transportation vehicle by switching the transportation vehicle to a limp mode.
16 . The computer program product of claim 15 , wherein the program instructions are further executable by the computer system to cause the computer system to: estimate a current condition of the battery of the transportation vehicle based on at least one of a number of previous recharging cycles, a number of previous vehicle operation parameters, a number of previous battery environmental parameters, or a number of battery specifications.
17 . The computer program product of claim 16 , wherein the program instructions are further executable by the computer system to cause the computer system to: calculate the equivalent carbon footprint tax while the transportation vehicle is travelling the route based on the current condition of the battery as a baseline, a number of vehicle operation parameters while the transportation vehicle is travelling the route, a number of battery environmental parameters while the transportation vehicle is travelling the route, and the number of battery specifications.
18 . The computer program product of claim 15 , wherein the program instructions are further executable by the computer system to cause the computer system to: track, using at least one blockchain, at least one of a number of previous battery operational parameters or a number of previous environmental parameters and
wherein predict the incremental degradation of a battery of a transportation vehicle is further based on at least one of the number of previous battery operational parameters or the number of previous environmental parameters.
19 . Computer program product of claim 15 , wherein the program instructions are further executable by the computer system to cause the computer system to:
track, using at least one blockchain, at least one type of maintenance performed on the battery of the transportation vehicle and
wherein predict incremental degradation of a battery of a transportation vehicle is further based on historical learning about how the at least one type of maintenance performed on the battery of the transportation vehicle changes the current condition of the battery of the transportation vehicle.
20 . The computer program product of claim 15 , wherein the program instructions are further executable by the computer system to cause the computer system to: reduce incremental degradation of the battery comprising at least one of limiting acceleration, limiting speed, disabling auxiliary systems, or changing the route.